{"url": "https://iland-model.org/Expression", "date": "2023-09-26T21:31:22Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233510225.44/warc/CC-MAIN-20230926211344-20230927001344-00117.warc.gz", "language_score": 0.8004510998725891, "token_count": 1709, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__229000585", "lang": "en", "text": "Table of contents\nThe expression class used in iLand was originally developed for the Picus model and aims at a high performance for repeated executions. Expressions are parsed only once and converted to an internal \"program\" which can be executed with very little overhead. When using more complex mathematical functions (e.g. exp()), the overall performance is comparable to hard coded C++.\nThe meaning of a variable name within an expression depends on the context. There are three main cases:\n- Expressions bound to \"Objects\" e.g. to Trees. In that case, the variable names are defined by the respective object. If an expression is bound to trees, one can use context sensitive variables like \"dbh\" or \"volume\" for trees. Depending on the context, this can be tree variables, resource unit variables, or sapling variables.\n- named variables: the names of variables are fixed programmatically. E.g: a expression with two named parameters (\"x\", \"n\") to calculate a weight could be \"x/n\" or more sophisticated \"x*x/n*n\"\n- unbound variables: In that case the name of the variable can be chosen freely. The value for the variable is set during the model execution and depends on the context. Example: the expressions for the calculation of biomass compartments (allometric equations) has one parameter (dbh). Valid expression are, e.g.: \"0.1*dbh^2\" or \"0.1*d^2\" or \"0.1*fish^2\".\nBasically, expressions can consist of basic arithemtic operators, variables and functions. The basic operators +,-,* and / work as expected (incl. precedence rules). Additionally, the caret \"^\" can be used for power functions (e.g. x*x can be written as x^2). Parentheses work as expected (e.g. (a+b)*c is different from a+(b*c)).\nFloating point numbers must use the dot (\".\") for constants (e.g. 0.001). The comma \",\" is used to separate arguments in function calls.\nExpressions can be used to evaluate logical expressions, i.e. expressions with a result value of either \"true\" or \"false\". Operators for logcal expressions are \"and\" and \"or\". Logical expressions are typically used to filter or select from a set of objects based on a criterion. E.g.: using the expression \"dbh>30 and (stress>0.5 or leafarea<1)\" as a filter, would result in a list of large, but stressed trees.\nLogical and \"mathematical\" operators can be used together: every non-zero value is evaluated as \"true\", zero (0) as \"false\". 'true' and 'false' are also available and internally converted to 1 and 0, respectively. Hence, a logical \"not\" can be expressed as ex\nExpressions provide a basic support for constants. A constant is a system-defined name with a fixed value that can be used instead of the numerical value. Currently, the species names / IDs are available and linked to the numerical index of the species for the current run:\nTherefore, you can use, e.g., 'species=Tsme' in a management-filter expression (having 'Tsme' as the ID of one tree species). Note, that no apostrophs are required. 'Tsme' is replaced with the numerical value (e.g. '1') during parsing time of the expression.\nThe general form of function is:\nfunctionname(list of arguments)\nGenerally, mathematical functions are executed without checking for the validity of the arguments (e.g. division by 0, or tan(pi/2)).\n|sin(x)||the sin of x, x as radians.||sin(x)|\n|cos(x)||the cosine of x, x as radians||cos(x)|\n|tan(x)||the tangens of x, x as radians||tan(x)|\n|exp(x)||exponential function, e(1)=2.7182...||exp(-k*LAI)|\n|ln(x)||the logarithm of base e, ln(2.7182...)=1||ln(x)|\n|sqrt(x)||the square root of x (equivalent to x^0.5)||sqrt(x)|\n|mod(x,y)||return the modulo (remainder) of x/y. e.g. mod(13,10)=3||if(mod(id,2), 1, 0)|\n|round(x)||Returns the integral value that is nearest to x, with halfway cases rounded away from zero.||round(x)|\n|min(x1,x2,...,xn)||returns the minimum value of the arguments. Argument count must be >1 and <10||min(x,0)|\n|max(x1,x2,...,xn)||returns the maximum value of the arguments. Argument count must be >1 and <10||max(min(x,1),0)|\n|if(condition, true, false)||logical if-then-else construct. if \"condition\" is true, the \"true\" is returned, \"false\" otherwise. E.g.: a abs()-function: if(x<0;-x;x). Note that both clauses are calculated in every case!||if(x<0;-x;x)|\n|in(value, arg1, arg2, ... , argn)||returns true if value is in the list or arguments, false otherwise.||in(year,100,200,300)|\n|incsum(fn)||when used in SQL like expressions (e.g., management, the function incsum cumulates its value over several calls. See the management functions mean and sum functions.||incsum(basalArea)<40|\n|polygon(value, x1,y1, x2,y2, x3,y3, ..., xn,yn)||return is: y1 if valuexn, or the lineraly interpolated numeric y-value.||polygon(x, 0,0, 1,0.5)|\n|sigmoid(x, type, param1, param2)||The value of \"sigmoid\" curve at x. The type of curve is designated by type with the two parameters param1 and param2. 0: logistic, 1: Hill-function, 2: 1-logistic, 3: 1-hill||sigmoid(x, 0, 10, 100)|\n|rnd(from, to)||returns a uniformly distributed random function between from and to.||rnd(0,1)|\n|rndg(mean, stddev)||returns a random number drawn from a Gaussian normal distribution with 'mean' as the mean value 'stddev' as the standard deviation.||rndg(0,1)|\n- create an output only every 10 years:\nTo improve the calculation performance in certain situations, expressions can use precalculated function results to interpolate a function numerically. This works best for expressions with one variable and a defined range for the input, but also an implementation for expressions with two variables is available.\nFor complex mathematical expressions the linearized version is up to 10 times faster than the regular expression engine.\nThe linearization is globally enabled/disabled by the switch system.settings.expressionLinearizationEnabled in the project file. Note, that this feature must be explicitly enabled for each expression used in the source code.", "domain": "mathematics"} {"url": "https://familytravelfiles.wordpress.com/2015/03/11/sharing-pie-on-pi-day/", "date": "2019-07-23T13:05:58Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-30/segments/1563195529406.97/warc/CC-MAIN-20190723130306-20190723152306-00307.warc.gz", "language_score": 0.9046873450279236, "token_count": 418, "dump": "CC-MAIN-2019-30", "global_id": "webtext-fineweb__CC-MAIN-2019-30__0__138837840", "lang": "en", "text": "It is a fortunate coincidence that Saturday is not just Pi Day but also Albert Einstein’s birthday. Museums and destinations across the country have created terrific ways for families to celebrate with pi parades, Albert Einstein look-a-like contests, pie eating contests, and interactive numbers games.\nI think Mr. Einstein would smile at the assorted events created to honor the most memorable number sequence on the planet. If you are not following me, pi usually recognized by the Greek letter “π” is the symbol used in math to represent a constant — the ratio of the circumference of a circle to its diameter which is 3.14159265358…. and on it goes. The following events prove math can be fun for everyone and who doesn’t love pie.\nPrinceton, New Jersey is hosting a string of crazy events including an Einstein look-a-like contest and a Dinky Train ride with reenactors playing Einstein, his mother and their good friends.\nNaturally MoMath, the National Museum of Math in Manhattan will begin the day’s festivities begin at 3/14/15 at 9:26 with a scavenger hunt through the exhibits and oodles of pi puzzles to be solved.\nAny day at the Franklin Institute in Philadelphia offers exceptional rewards for families but the Museum’s National Pi Day celebration will add extra geekiness with pi reciting contests and a pie launch competition\nAdler Planetarium’s daytime Pi Day activities include a pie eating contest, a parachuting pies challenge, and pie-in-the-sky solar observations.\nAt San Francisco’s Exploratorium the day begins at 9:26:53 and includes pi processional, light circles and pizza pie dough tossing.\nIf none of these work for you there’s always the excuse to bake a pie and do your own calculations per serving.\nFor the latest family travel news follow the Family Travel Files on Twitter (@FamTravelFiles)\nNancy Nelson-Duac, Curator of the Good Stuff", "domain": "mathematics"} {"url": "http://spilamex.gq/9814250554/discovering-mathematics-common-core-workbook-7b.pdf", "date": "2018-04-20T10:40:47Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-17/segments/1524125937440.13/warc/CC-MAIN-20180420100911-20180420120911-00588.warc.gz", "language_score": 0.9063302874565125, "token_count": 299, "dump": "CC-MAIN-2018-17", "global_id": "webtext-fineweb__CC-MAIN-2018-17__0__8376314", "lang": "en", "text": "Book Title: Discovering Mathematics: Common Core, Workbook 7B\nPublisher: Star Publishing\nDiscovering Mathematics Common Core Workbooks are designed for middle school students. Developed in collaboration between Star Publishing Pte. Ltd. and Singapore Math Inc,. these workbooks follow the Singapore Framework and also cover the topics in the Common Core State Standards.\nEach workbook is written as a supplement to the textbook, Discovering Mathematics Common Core, to give students more practice in applying the concepts learned. Students may refer to the summary of the important concepts in each chapter of the textbook for a quick review before attempting the questions in the workbook. After completing the exercises, students will not only polish their own analytical skills, but also develop a stronger foundation in mathematics.\nThe questions in each workbook chapter are categorized into 4 pars according to the level of difficulty and the thinking skills involved:\nBasic Practice: simple questions that drill comprehension of concepts\nFurther Practice: harder questions that involve direct applications\nChallenging Practice: questions that require synthesis ability\nEnrichment: questions that demand higher order thinking\nThese questions encourage students to think analytically, reason logically, use appropriate connections between mathematical ideas, and apply problem-solving skills in daily life situations.\nWe hope that these comprehensive workbooks will give students the tools and the confidence to handle mathematical questions and apply mathematical concepts to real-life situations. By achieving this, students will find learning mathematic an interesting and exciting experience.", "domain": "mathematics"} {"url": "https://www.thenewatlantis.com/publications/math-and-modernity", "date": "2023-12-09T04:14:23Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100800.25/warc/CC-MAIN-20231209040008-20231209070008-00010.warc.gz", "language_score": 0.9455438256263733, "token_count": 8576, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__22756794", "lang": "en", "text": "One pillar of the modern world was the project to transform science from a discipline for contemplating nature into a tool for mastering it. Queen among the new sciences was mathematical physics, made possible by a corresponding transformation of mathematics. Ancient mathematicians, said René Descartes, had misunderstood their subject. They offered a procession of dazzling spectacles, but mathematics properly understood is not the presentation of beautiful chance discoveries. It must instead provide a systematic method for solving problems.\nTrue and oft-heard though this story is, it is also easily taken for granted. Harvey Flaumenhaft’s new book Insights and Manipulations seeks to remedy that with a hands-on guide to this momentous change. To understand that change, he says, and to understand it as progress, “we need to know what it was a step from as well as what it was a step toward.” He presents it as a movement from the Conics of Apollonius of Perga, a brilliant and difficult triumph of ancient mathematics written in the third century b.c., to Descartes’s 1637 Geometry, a decisive stride into modernity. For Apollonius, mathematics was a way of gaining insights into the nature of geometrical forms by envisioning them in the mind; Descartes made mathematics into an activity of manipulation — hence the title of Flaumenhaft’s book.\nBut appreciating scientific progress should not become a license to forget the past:\nWe often take for granted the terms, the premises, and the methods that prevail in our time and place. We take for granted, as the starting points for our own thinking, the outcomes of a process of thinking by our predecessors.\nWhat happens is something like this: Questions are asked, and answers are given. These answers in turn provoke new questions, with their own answers. The new questions are built from the answers that were given to the old questions, but the old questions are now no longer asked. Foundations get covered over by what is built upon them.\nProgress thus can lead to a kind of forgetfulness, making us less thoughtful in some ways than the people whom we go beyond. We can become more thoughtful, though, by attending to the originating thinking that while out of sight is still at work in the achievements it has generated.\nInsights and Manipulations is thus a guidebook helping us to retrace the steps of discovery from ancient mathematics to Descartes, who conceived the world anew. For “only by actively taking part in scientific discovery — only through engaging in re-discovery ourselves — can we avoid both blind reaction against the scientific enterprise and blind submission to it.” What’s at stake for Flaumenhaft is more than being thoughtful about the world we inhabit; it is whether we are to understand the foundations of modern science well enough to sustain it.\nClassic works of science and mathematics make up a substantial part of the liberal arts curriculum at St. John’s College in Annapolis, Maryland, where Flaumenhaft has taught for more than fifty years. Students there struggle through Apollonius and Descartes not as an antiquarian exercise but as a way to see the modern world come into being.\nInsights and Manipulations also offers a model of how to read a scientific classic: Presume that it has been written with care and treat it, like any other work of art, as a unified whole whose very form helps to tell its story. (Flaumenhaft provides, at times, more about the detailed structure of these works than many readers may want to know, but that’s a quibble.)\nThe first three-quarters of this hefty book is devoted to Apollonius, and is a considerable pedagogical achievement in itself. Apollonius studies conic sections, the curves obtained by slicing straight through a cone — circle, ellipse, parabola, hyperbola. The Conics is, to say the least, austere, a sequence of definitions, propositions, and proofs with little motivating explanation. It also assumes knowledge of sophisticated parts of Euclid’s Elements, a classical masterwork of geometry that preceded Apollonius by roughly a century.\nFlaumenhaft, supplying background from Euclid as needed, carefully explains what each definition and proposition says (and, equally important, what it doesn’t). Before offering a formal proof, he prepares readers by informally explaining why each proposition ought to be true. He supplies abundant illustrations, not just geometric diagrams but also flowcharts that offer an overview of how every part of an argument fits together. The diagrams are great improvements on those typically provided in other presentations of Euclid or Apollonius. Instead of a single, sometimes massively complex figure, he accompanies each proof with a series of simpler pictures, each of which isolates only what is needed to explicate a single logical step. He also provides views from different angles (bird’s eye, side view), allowing the reader to imagine walking around a 3-D model. These illustrations are hand-drawn, which lends them a certain charm, as if one is following a teacher at a blackboard.\nThe story frequently steps back from the local questions of understanding individual definitions and arguments to the global question of why the results have been organized and presented as they are. Flaumenhaft tends, at times, to over-explain — as Marian Adams said of Henry James, to chew a bit more than he bit off — but that’s the defect of a virtue.\nConic sections still appear in high school mathematics today, but a contemporary student will encounter nothing like what we find in Apollonius. Apollonius starts with a geometrical image, a slice through a cone. Everything that follows is expressed in terms of geometrical constructions built on the cone, the curve, and the plane making the slice; there are no coordinates, formulas, equations, or even numbers. By contrast, a modern textbook will, pro forma, provide a picture of a cone, but will have no real use for it. The curves to be studied are defined by formulas, and the terminology of “conic sections” is a vestige of forgotten technology, as when we speak of dialing a phone. The modern student is really doing algebra.\nApollonius thinks very differently, guided by a set of clear logical distinctions that made it impossible to mix geometry with arithmetic (and thus with algebra). One must appreciate these distinctions to understand the radical step Descartes took in breaking them down, the power he unleashed in doing so, and the intellect that could do that.\nAfter the extended treatment of Apollonius, and brief excursions into works by Diophantus of Alexandria (200s a.d.) and François Viète (1500s), Insights and Manipulations concludes with the 1637 Geometry. Here Descartes accuses the ancients of withholding explanations of how they discovered their results in order to make themselves look good. Further, the ancients insisted on a fundamental logical distinction between arithmetic and geometry — to Descartes, a pesky scruple that prevented them from finding the proper mathematical method. By merging the two fields, Descartes unveiled a royal road to discovery — inaugurating, as Flaumenhaft puts it, a decisive shift from seeing “with the mind’s eye” to performing “mental manipulation.”\nDescartes famously distinguished mind, whose essence is to think, from matter, whose essence is “extension” — roughly, the ability to occupy space. The physics of the material world must therefore be explained as matter moving and rearranging in space. So a systematic method for solving geometrical problems, for mentally manipulating space, must have seemed the key to a comprehensive explanation of the material world.\nGeometry was published in a volume comprising four short works. The first is the famous Discourse on the Method of Rightly Conducting One’s Reason and Seeking Truth in the Sciences — the source of “I think, therefore I am.” The other three offer examples of applying his method, which we can’t retrace here, to problems in different fields of science. Optics works out a (correct) law for the refraction of light. Meteorology explains (again correctly) the cause of a rainbow. Those two achievements, he says, are persuasive evidence for the value of his method.\nAnd Descartes presents Geometry, the concluding essay, as definitive proof. He first describes a procedure for solving any problem in classical, Euclid-style geometry. A problem asks for a construction, such as: Given a rectangle, construct a square with the same area. I’ll use this very simple problem as a running example. Descartes doesn’t deign to illustrate his procedure by applying it to a specific example. Readers will learn more, he says, by working things out for themselves.\nInstead, he turns to a problem that had been open for more than a millennium — actually to a family of problems called “locus” problems. They were formulated by Pappus of Alexandria, the last of the great, ancient Greek mathematicians, in the fourth century a.d. A locus problem asks a question of the form: What is the curve containing all points that satisfy some constraint? To take a simple example, if the constraint is “All points that lie at a given distance from a fixed center point,” the answer is a circle. Pappus formulated his problem in a very general way by establishing a systematic, stylized way to express the constraints. (See Supplement 1 below for an illustration.) While the answers to some relatively simple locus problems are the conic sections of Apollonius, the general problem posed by Pappus — an infinite family of increasingly complex problems — remained open.\nDescartes is interested not merely in providing the answer to this or that previously unsolved problem, the stuff of which reputations in mathematics had always been made. What matters is the discovery of a systematic method for problem-solving — a way to attack any of Pappus’s locus problems, however elaborate the constraints. By doing so, he says, “I think I have entirely satisfied what Pappus tells us had been sought in this by the ancients,” and he adds, cavalierly, “I shall try to put the demonstration of it in a few words, for I am already bored from writing about it so much.”\nThe conceptual tools available for performing constructions in classical geometry are the straight edge and the compass. Although we may use physical versions of them on a blackboard, we should think of them as theoretical devices, imaginative ways to express two of Euclid’s postulates: that we can construct a straight line connecting any two points and extend it as far as we like (straight edge); and that we can construct a circle with any given center and radius (compass). Descartes’s methods allow him to see how far it’s possible to go using only straight edge and compass, and to identify the fancier tools required to solve more complex problems. He introduces what’s come to be called a “geometrical compass,” an indefinitely extendable device that allows additional moving straight-edges that act like levers:\nAs one adds more levers, one can draw more complex curves, with each added lever corresponding to added complexity in the algebraic expressions needed to formulate a problem.\nWhen Descartes made his new beginning … , he said that the ancients were handicapped by their having a scruple against using the terms of arithmetic in geometry…. Before modern readers can appreciate why Descartes wanted to overcome the scruple, and what he saw that enabled him to do it, they must be clear about just what the scruple was.\nWe may think about the ancient scruple in the following way. The science we now have is what we might call “quantitative” and “numerical.” Quantities admit comparisons of less and greater. To us it seems natural to identify quantitative with numerical — to represent any quantity as a numerical value, for example a decimal number or a location on what we now call a “number line.” For that notion I’ll use the ungainly term number-in-our-sense.\nTo our great ancestors this conception of quantity, far from being natural, would have seemed incoherent. They recognized a fundamental difference between quantities arising in geometry (lengths, areas, volumes) and quantities arising in arithmetic (the numbers we count with). Our physical science required that Descartes break down that barrier by introducing arithmetical methods into geometry.\nWhat was the problem? First, as noted, quantities fall naturally into two radically different categories: multitudes (collections of distinct individuals that can be counted, like cows) and magnitudes (which can be made continuously smaller or greater, like lines or areas or volumes). Ordinary speech reflects the difference. Of multitudes we ask “How many?” but of magnitudes “How much?” A herd of cows is a multitude; we ask how many cows are in a field, not how much cows there are. We get the answer by counting them. The water in a pond is a magnitude. We ask how much of it there is, not how many.\nTo define a multitude, we have to specify which individuals it consists of. One can’t point to a field and ask “How many?” without specifying how many of what: horses, cows, hooves. Euclid’s Elements, which lays the foundation for Apollonius, says that “a unit is that by virtue of which each of the things that exist is called one.” In this sense, “cow” is a unit but “water” is not; we can count cows but not water because there’s such a thing as “a cow” but no such thing as “a water.” There is an unfortunate collision between Euclid’s meaning of “unit” and our use of “unit” to denote some arbitrarily chosen magnitude — inch, pound, gallon — employed as a reference for measurements. It seems we might be able to paper over the differences between multitudes and magnitudes by using such reference values: We can’t ask how many water are in a pond, but we can ask how many gallons of water are in it. As we will see, that simple strategy — changing the question so as to think of magnitudes as multitudes — can’t be made to work. Something much deeper will be required.\nEuclid goes on to say, “A number is a multitude composed of units.” Euclid’s units are, by definition, indivisible, so multitudes are discrete: There is no multitude consisting of more than three cows but fewer than four. Multitudes defined by different units can be compared: It makes sense to ask whether there are more chickens in the barn than eggs. From now on, I’ll use the word number, unqualified, to mean a number in this ancient sense but will sometimes, for emphasis, say “counting number,” and we will see how this is different from number-in-our-sense, which allows us to represent any quantity as a numerical value.\nMagnitudes, by contrast, are not discrete; a line, unlike a herd of cows, can repeatedly be divided into smaller pieces as often as you like. (For Euclid, “line” always means what today we would prefer to call a “line segment”: limited in length, having two end points.) Equally important, magnitudes are of different kinds, and those of different kinds are incomparable; we can’t, for example, ask whether (the length of) a line is greater or less than (the area of) a two-dimensional figure such as a square.\nThe preceding sentence hid the references to length and area in parentheses because they suggest a way of thought according to which there is, on the one hand, a line (or a figure) and, on the other hand, some sort of number-in-our-sense that is its length (or its area). But the possibility or intelligibility of such numbers-in-our-sense is precisely what is at issue. When, for example, Euclid shows that a certain square equals a certain triangle, that amounts not to some numerical comparison but to showing that the figures can be cut into identical collections of pieces — or, if you like, cut up and then rearranged to make the same figures.\nConsider a further distinction between multitudes (“how many”) and magnitudes (“how much”): Different things can be done with each. For example, two multitudes can be multiplied but two magnitudes cannot. The result of multiplying four cows by three is (to use a modern notation that is in this case not misleading) 4 + 4 + 4 cows. The multitudinous-ness of three is what tells us how many times to add groups of four cows together. By contrast, although we can multiply a magnitude by a multitude — say, doubling a line — we cannot multiply two magnitudes, even if they are of the same kind. We can’t multiply a line by a line or one figure by another, because lines and figures provide no natural answer to the question “How many times?”\nA modern text that formulates the Pythagorean Theorem by saying “a right triangle with sides a, b, and hypotenuse c satisfies a2 + b2 = c2” is therefore saying something radically different from what Euclid or Apollonius or Pythagoras said. It assigns to the sides the lengths a, b, and c, which are numbers-in-our-sense; it performs arithmetical operations on them (squaring, adding) to compute other numbers-in-our-sense; and then it asserts that the results are numerically equal. Euclid puts this very differently. He says that if you’re given a right triangle and construct squares on all its sides, then the squares on the two sides containing the right angle taken together are equal to the square on the other one. Numbers don’t enter the picture, and the proof is done geometrically.\nWe are so used to thinking in terms of numbers-in-our-sense that the difference can be hard to think about, but it is critical for understanding what ancient mathematicians were doing, and what marked the divide between geometry and arithmetic that Descartes broke down. But before we get there, we must get a taste for the challenges the ancients faced — and the insights they gained — in doing geometry without arithmetic.\nEarlier, I dismissed a maneuver that seems as if it could bridge the two domains — namely, to treat a magnitude as a kind of multitude, an exact multiple of some magnitude used as the reference for a measurement. Thus we might be able to regard some line as a multitude of feet or meters or cubits. If a right triangle has sides that are 3 feet, 4 feet, and 5 feet, the Pythagorean Theorem might be expressed as a fact about calculations with those numbers: 32 + 42 = 52. (Ignore for now that the theorem would no longer describe visualizable relationships among geometric figures.)\nWhy does this trick fail? It can be applied only if all the lines in the problem are exact multiples of the same reference line — if, in Euclid’s terminology, all the lines have a “common measure.” Unfortunately, one of the most famous proofs in ancient mathematics shows that that’s not always possible. A simple example: the side of a square and its diagonal have no common measure. This example also shows that the trick can’t be used to formulate the Pythagorean Theorem. It can’t be applied to the right triangles that result from slicing a square in half along its diagonal.\nAncient mathematicians devised an elegant way around this by appealing to the notion of ratio. Quantities of the same kind — two lines, for example — will have a ratio even if they lack a common measure, and ratios can be compared. We can say, for example, that the ratio of 2 to 5 is the same as the ratio of 4 to 10, and is greater than the ratio of 2 to 10. Crucially, we can compare any ratios — we can, for example, compare the ratio of two counting numbers to that of two areas, or the ratio of two lengths to the ratio of two volumes.\nModern mathematics is indifferent to any distinction between ratios and numbers-in-our-sense; it is happy to identify the ratio of 2 to 5 with the number-in-our-sense 2/5, or the ratio between a square’s diagonal and its side with the number-in-our-sense called “the square root of two.” For us, the proportion stating that “the ratio of 2 to 5 is the same as the ratio of 4 to 10” can be expressed as the equation “2/5 = 4/10.”\nEuclid and Apollonius have no words to denote “the square root of two” but do have a powerful theory of ratios that makes it possible to establish connections among quantities of all kinds. That theory gets a rigorous basis in the most technically sophisticated book of Euclid’s Elements.\nConsider a simple example, expressing the relation between the area of a rectangle and the lengths of its sides. In modern mathematics we represent the sides with numbers-in-our-sense — say, 2.6 and 3.5 — and define the area to be their numerical product: 2.6 * 3.5 = 9.1. In a practical application, the numbers we use will depend on whether we choose to express the lengths in inches, meters, furlongs, or whatever.\nEuclid expresses that relationship more elegantly with ratios, needing no resort to an arbitrarily chosen standard of measurement. Look first at a simple case. If, given a rectangle, we leave its height unchanged, and double its width, we will have doubled its area. Similarly, to use modern terms, if we change the width by a factor of 50 percent, or by a factor of , we will change the area by the same factor. That is, if we write “:” to abbreviate “the ratio” between two quantities, we can in this simple case express the relation between the sides and area of a rectangle as a proportion:\n[old rectangle : new rectangle] is the same as [old width : new width]\nIf we now change both the height and width, then [old rectangle : new rectangle] will be a ratio that depends on both [old width : new width] and [old height : new height]. It will be what Euclid calls the ratio compounded of those two; given such a pair, Euclid shows how to construct a pair of lines whose ratio is their compound.\nThese are the terms in which Apollonius thinks, and he deploys them with great virtuosity.\nFlaumenhaft wants to help us teach ourselves to think like Apollonius, who proves theorems using proportions, and to compare that to the Cartesian practice of solving problems using equations. The root of the Greek word for “theorem” means “to look at” or “behold.” And “proportion” has to do with recognizing a similarity between different things. This reflects what Apollonius does: behold certain similarities in things. A problem, by contrast, presents us with a task: to find a solution. The terms in an equation are symbolic. Their purpose is not to represent something that we see by looking at or through it, but to be material for manipulation.\nFor Descartes, Flaumenhaft writes, “beholding is subordinate to mastery,” and “wonder should give way to problem-solving. What Descartes brought to this modern project which took mastery of nature as its end was an emphasis on mathematics as means to the end.”\nWe can further contrast the two approaches by considering the difference between synthesis and analysis. Euclid and Apollonius present their results by synthesis. A synthesis is a proof that begins from postulates and things already proven, then deduces a sequence of further results until it manages to establish the desired conclusion. Those deductions often concern not only the lines and figures given in the statement of a theorem, but additional lines and figures introduced, often with great ingenuity, in order to establish in some roundabout way relationships among the elements of the original material. How the proposition or its proof were discovered is not manifest.\nDescartes, by contrast, provides a method of analysis. Starting with a problem, he will transform it into a sequence of other problems, all of which are equivalent, until arriving at one he knows how to solve. Since the problems are equivalent, a solution to any of them gives a solution to all of them. The procedure is transparent because the analysis itself shows how the result was obtained.\nAnalysis is what we do in a high school algebra class. We’re given the problem of finding an x such that 3x – 2 = 7. Adding 2 on each side of the equation transforms it to 3x = 9. Dividing both sides by 3 transforms that to x = 3. Maneuvers of this kind were hardly unknown before Descartes. Flaumenhaft walks us through the way Diophantus applied them to problems about numbers and Viète applied them to what he called “species” — entities that share some characteristics with numbers and some with geometrical magnitudes. Species, however, are still encumbered by something like the distinctions among kinds of quantities that Descartes eliminates.\nDescartes claims that any geometric problem can be expressed as the task of finding the lengths of certain lines. To do that by analysis, he first restates the geometric problem using equations that relate the unknowns (lines to be found) to the knowns (lines given in the statement of the problem).\nConsider again our familiar example: Given a rectangle, construct a square of the same area. The knowns are the two sides of the rectangle; call them A and B. There’s one unknown, the side of the square we’re looking for (since all sides of the square are the same); call it x.\nThe equation that relates the areas of the two figures may look misleadingly, comfortably familiar:\nx * x = A * B\nWe’ll have more to say about that later, but, to avoid jumping to unjustified conclusions, note that Descartes is doing geometry: A, B, and x are straight lines, not numbers.\nAlgebraic manipulations then transform these equations into a solution — that is, a collection of equations in which each unknown is set equal to an expression involving only known quantities.\nIn this case, the solution (also misleadingly familiar) is:\nNow comes a piece of magic. Descartes does not find x by calculating some value for the expression ; instead, as we will see below,“” is interpreted as a set of instructions for performing a geometrical construction that gives the desired answer.\nHe is doing geometry, but the most important steps take place in a symbolic world where we (literally) lose sight of the original subject matter. We can, however, extract a geometrical meaning from the symbolic solution that emerges.\nBefore looking at how Descartes solves the problem, we must consider how he explains arithmetical manipulation of lines. The terms in Descartes’s equations use the operations of addition, subtraction, multiplication, division, and the taking of roots (square root, cube root, and so forth). As Descartes defines these operations, both their inputs and outputs are lines. Thus, all the manipulations act on a single kind of thing — on a single “type,” to use the terminology of modern logic and computer science. Operating on a single type, regardless of what it represents, is a crucial simplification.\nAddition and subtraction of lines are explained in the obvious way: A + B is a line that results from extending A by attaching B at one of its endpoints. A – B is a line that results from lopping B off the end of A, and is not defined if B is greater than A. Descartes defines multiplication, division, and the taking of roots by analogy. Take multiplication as an example. He first finds a recipe that characterizes multiplication for counting numbers in terms of ratios and proportions — the domain in which multitudes and magnitudes participate on something like an equal footing. He then uses that recipe as the definition of multiplication for lines.\nHere’s how that works. For counting numbers, we can describe the result of multiplying 2 by 3 as a proportion by saying that\n(2 * 3) : 2 is the same ratio as 3 : 1\nIn other words, because 3 is what you get by tripling 1, the value of 2 * 3 is what you get by tripling 2. Descartes simply copies that: If A and B are lines and we arbitrarily choose any other line u, then — in terms of that choice of u — we define A * B to be a line such that\n(A * B) : A is the same ratio as B : u\nThat is, whatever “multiple” B is of u, A * B is that same multiple of A. (Supplement 2 below provides a geometrical construction for finding A * B.) Descartes calls u a “unit,” using the word in essentially the modern sense — unlike Euclid’s usage, in which a unit is a concept that specifies the kind of thing (a cow) assembled in a multitude (a herd).\nIt’s far from obvious what those definitions buy us, since the line we obtain by calculating the value of some complex expression will depend entirely on the arbitrarily chosen unit (u). But Descartes doesn’t want to calculate with these expressions; he only wants to manipulate them. His strategy works, because, for any fixed choice of a unit, all the usual rules for algebraic manipulation are valid. For example, consider the expressions (A * B * C) / A and B * C. Whatever line we choose as the unit u, the value of the two expressions calculated in terms of u will be lines of the same length. Descartes can therefore say that (A * B * C) / A = B * C, and justify the algebraic maneuver of “canceling the A’s.”\nHere are the steps by which Descartes’s method would solve our simple sample problem: Given a rectangle, construct an equal square.\nWe choose names for the knowns, the sides of the rectangle: call them A and B. We choose a name, x, for the side of the square we’re seeking.\nWe next apply certain rules for translating the geometry into symbols. One of them tells us to represent (the area of) that rectangle by the expression A * B. By the same rule, x * x represents the square we want to find. (For x * x, we’ll use the modern notation x2, which Descartes introduced.) We thus reformulate the problem as a request to solve x2 = A * B. A symbolic solution requires just two steps:\n|taking the square root of both sides|\nDescartes provides another set of rules for translating the solution thus found into a geometric construction. Relegating the explanation to Supplement 3 below, I’ll simply assert that the solution given above corresponds to a geometric construction solving the problem:\nFind an x so that B : x is the same as x : A.\nAll together, this amounts to a geometrical argument in which all the work is done by routine symbolic manipulation.\nThe rules for translating geometric problems into equations, and for then translating their algebraic solutions back into geometric constructions, are based on plausible analogies. Further, because the rules for algebraic manipulation are valid regardless of the choice of unit, it’s plausible that those manipulations won’t corrupt the geometrical meaning that we ultimately wish to extract. Those deep insights don’t truly amount to proof that his method works, although using modern logical techniques such a proof would be straightforward.\nDescartes asserts, leaving it to the reader to persuade himself, that the method he describes suffices to solve any problem solvable by the constructions available in Euclid. But that’s only a warmup.\nThe definitive proof for the value of Descartes’s method is that it has enabled him to discover how to systematically classify and solve an unlimited number of problems of arbitrary complexity. Locus problems with more and more elaborate constraints will result in equations containing terms of higher and higher power, something that might in the past have seemed problematic. We can understand X2 — indeed, visualize it — as representing the area of a square, and we can understand X3 as the volume of a cube. But what about X4, X5, X6, … ? What could be the sense of those? Descartes has made that problem disappear. There is a method. One applies it.\nHe thus helped set in motion a chain of developments that led mathematics to become formal. Euclid and Apollonius understand themselves to be talking about lines, circles, figures, and solids. They single out certain obvious truths as postulates and prove others, including some that are not at all obvious, from those postulates. Those proofs allow us to see that the less-obvious things are true, but don’t make them true; rather, their truth follows from the nature of lines, circles, figures, and solids.\nA modern treatment of Euclidean geometry, by contrast, might begin by saying something like this: Suppose we have two collections of things, which we choose to call points and lines, and suppose that they satisfy such-and-such a list of postulates. It doesn’t matter, and we don’t care, what the things called “lines” and “points” are in relation to space or to anything in the physical world; the question doesn’t arise. Such meaning as “lines” and “points” have is acquired from the role they play in the system. Bertrand Russell, with his talent for aphorism, expressed this by saying that “mathematics may be defined as the subject in which we never know what we are talking about, nor whether what we are saying is true.”\nPracticing mathematicians do of course form mental pictures of what they talk about. Few have carefully thought-through positions on the philosophical status of those entities, but, professionally speaking, all play the formal game because it has immense power — and is the only way to make their results acceptable to the mathematical community at large.\nInsights and Manipulations is written, the introduction says, “for serious amateurs by a serious amateur,” and even its smallest details reflect the author’s long career as a teacher. Its meticulous layout, for example, arranges that an illustration and any references to it will lie on the same page or on a facing page, so that the reader won’t be compelled to flip back and forth. The original texts, including Flaumenhaft’s new translation of Apollonius, are presented in gray boxes and arranged to help the eye take them in, with lengthy and complex sentences often displayed so that each line on the page consists essentially of a logical unit. The publisher deserves compliments for agreeing to design decisions that make a big book even bigger.\nA serious amateur could use this book for self-study with a good prospect of success. Small seminars, I’m told, have worked through the entirety of early drafts with university students. A profitable course could be made from selections that focus, like this essay, on the beginning and end of the story — Apollonius and Descartes.\nInsights and Manipulations is part of a long-term pedagogical project, of the author and others, to reintroduce classic scientific works into liberal education. Intellectually serious students are owed that experience. Great scientific works are of enduring interest for their daring and imagination, and as chronicles of heroic adventures of the mind. “To be thoughtful human beings,” Flaumenhaft says, “to be thoughtful about what it is that makes us human, we need to read the record of the thinking that has shaped the world around us, and continues still to shape our minds.”\nA simple three-line locus problem is illustrated below:\nWe’re given the “reference” lines A, B, and C. Here is the constraint\ndetermining whether a point P lies on the locus:\nDraw perpendiculars from P to each of the reference lines, calling\nthose perpendiculars a, b, and c. P satisfies the constraint if\nyou can draw a rectangle with sides a and b that has the same\narea as a square with side c.\nIn this diagram, c is larger than both a and b. Thus we would expect the square with side c to be larger than the rectangle with sides a and b, and so P does not lie on the locus.\nPappus introduced a very general way to formulate constraints: There can be any number of reference lines, not just three. Instead of insisting that the line drawn from P meets each reference line at a right angle, one can specify the angle for each of them — the line from P to A must make this angle; the line from P to B must make that one; and so forth. Instead of requiring that the areas of the rectangle and square be equal, one can specify that the areas must have a certain ratio. (In, say, a six-line problem, the way to formulate the comparison of ratios based on the six lines drawn from P to the reference lines is more complex.)\nGiven A, B, and u, lay them out as in the left-hand side of the figure\nA and B meet at their end points to form an angle (it doesn’t matter what size). Lying on one of those sides is u (it doesn’t matter which side; in the figure I’ve chosen A), with one of its end points at the angle’s vertex. Neither does it matter whether u is greater than, less than, or equal to the side on which it lies.\nThe right-hand side of the figure then shows how to construct the side that will be defined as the length A * B with respect to the unit u: Draw a line (shown with heavy dashes) from the end of u to the end of B. Then draw a line (shown with lighter dashes) parallel to that line at the end of A, extending that line, and adding an extension to B, until they meet.\nThe desired result is the line marked A * B. Because the two dashed lines are parallel, the two triangles in the figure are similar, and corresponding sides will therefore have the same ratio. So, as desired, (A * B) : A is the same as B : u.\nLet’s first explain why this equation corresponds to the proportion:\nB : x is the same as x : A\nThis can be seen by backing up to the preceding equation, x2 = A * B, and rewriting it as follows:\n|x * x = A * B||by the definition of x2|\n|x = (A * B) / x||dividing both sides by x|\n|x / A = (A * B) / (x * A)||dividing both sides by A|\n|x / A = B / x||“canceling” the A’s|\nThis last equation corresponds to the proportion\nB : x is the same as x : A\nThe figure below shows the construction of x from B and A. Draw a semicircle whose diameter is A + B. The line x is the perpendicular drawn from the common point of A and B to the circle. The ability to draw circles (a compass) makes it possible to construct square roots. Successive add-ons to Descartes’s improved compass make it possible to extract roots of higher powers.\nMath and Modernity", "domain": "mathematics"} {"url": "https://kitwallace.co.uk/Blog/item/2013-01-12T23:01:00Z", "date": "2020-09-29T07:52:58Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-40/segments/1600401632671.79/warc/CC-MAIN-20200929060555-20200929090555-00775.warc.gz", "language_score": 0.910114586353302, "token_count": 736, "dump": "CC-MAIN-2020-40", "global_id": "webtext-fineweb__CC-MAIN-2020-40__0__231341228", "lang": "en", "text": "A friend's Christmas present to himself (and indirectly his family and friends) was a MakerBot Replicator 3-D printer. Down at Bristol Hackspace we have several repraps in various stages of completion, but none yet ready for novice use. Marc's printer seems to have worked out of the box, so I was able to get my first test piece send via Dropbox to London, printed appropriately enough, since it involved hearts, in a pretty pink plastic and posted to Bristol in a couple of days.\nThe key to my personal progress was the discovery of OpenSCAD. I've looked at using GUI-based 3-D tools like Blender but OpenSCAD is a programming environment, just my kind of 3-D tool. I soon found a weath of freely avaliable tutorials, reference material and scripts:\nOpenSCAD uses two modes of construction: Constructive Solid Geometry (CSG) using the Computational Geometry Algorithms Library (CGAL); and extrusion(two modes) of a 2-D shape.\nSome lessons learnt:\nThe challenge for the budding designer is to learn how to compose a desired shape by the application of the operators to the primitives. In the physical world, we typically construct objects in a 'carpentry' mode, glueing non-intersectiing objects (union) and removing waste (difference). Also our range of primitives is vast and I generally have no idea how, say, a nut is formed. CSG allows us to union() overlapping objects, get the intersection of objects and use the less-known operators minkowski sum and hull. To see what experienced openSCAD programmers use, I analysed the collection of 22 library files for basic shapes, gears and threads etc. There were a total of 10000 lines including comments. I used grep to do the counting of patterns such as 'rotate\\s*(' to get counts of each construct in the language.\n|union||576||Severe underestimate since union() is the default for a sequence of objects|\n|intersection_for||2|| replacement for loop within intersection which doesnt work\nThis data seems to indicate that designers are mainly using operators which correspond to the physical operations (carpentry mode) and are generally not using the advanced operators. This is not surprising because even intersection can yield surprising results. An example in the wikibook shows the construction of a dodecahedron from the intersection of 6 boxes:\nbut I havent been able to trace the source of this construction. It's tempting to look for ways of constructing the other regular solids using intersection and indeed playing with this code, I found I could make an octahedron:\nWhat other solids could I make this way? One feature of OpenSCAD is very useful here - the ability to display a parameterized sequence of objects as an animation. The system variable $t changes from 0 to 1 in increments determined by the total number frames entered in the animation panel, so to see what solids are generated as the dihedral angle is changed :\nand its fun to watch the shapes morph, becoming dodecahedrons at several angles and curious asymmetric faceted shapes in between. Moreover you can edit the script as it runs to change other parameters such as the number of intersecting boxes. You can also create a video. Each frame is saved as a .png file. I used ffmpeg installed on Ubuntu:\n> ffmpeg -f image2 -i frame%05d.png -r 12 dodec.avi\nto create this little video", "domain": "mathematics"} {"url": "https://www.uiwteachernetwork.org/elementary-apps.html", "date": "2018-12-14T17:41:36Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-51/segments/1544376826145.69/warc/CC-MAIN-20181214162826-20181214184826-00567.warc.gz", "language_score": 0.9045544266700745, "token_count": 1337, "dump": "CC-MAIN-2018-51", "global_id": "webtext-fineweb__CC-MAIN-2018-51__0__187293953", "lang": "en", "text": "Elementary Apps for the Classroom\nCheck out these great apps for your students.\nArithmetic Invaders Express: Grade K-2 Math Facts - Express addition, subtraction, and multiplication games to defend the solar system and master K-2 arithmetic. Also, learn some basic facts about the Solar System.\nCloud Math Free - Excellent app for practicing and learning math.\" The difficulty level is easily controlled by a choice of operations, number ranges, numbers of answers to choose from, the number of problems in a set, and a Fail-safe mode. There are problems with addition and subtraction operations on numbers up to 50.\nGeoboard, by the Math Learning Center - Geoboard is a tool for exploring a variety of mathematical topics introduced in the elementary and middle grades. Learners stretch bands around the pegs to form line segments and polygons and make discoveries about perimeter, area, angles, congruence, fractions, and more.\nMath Puppy - Your younger students will be able to enjoy an interactive, learning environment of fun and adventure as they master basic math skills. Perfect for early childhood students.\nCounting Bills & Coins - Counting Bills & Coins lets you practice identifying and solving math problems with money. Count, match, and make change with coins up to quarters and bills up to $20. Practice money skills in five unique activities: counting money, show me the money, making change, matching amounts, and show values.\nMath Ninja - Use your math skills to defend your tree house against a hungry tomato and his robotic army in this fun action packed game! Choose between ninja stars, smoke bombs, or ninja magic - and choose your upgrades wisely!\nInteractive Telling Time Lite - Interactive Telling Time is great for kids from ages 3 to 12 and comes in 3 difficulty levels so that it helps kids master telling time progressively (statistics are provided to help keep track of progress). Learn to set the time via interactive clocks with movable hour and minute hands, how to read a clock/to tell time, the conversion between analog clocks and digital clocks, as well as concepts such as ‘o’clock‘, ‘midnight’, ‘half past’, ‘quarter past’, ‘quarter to’, ‘past’, ‘to’, etc.\nDominoes Easy Match - Dominoes Easy Match skills focus on: concepts of numbers, identification of numbers 1-9, identification of simple arrays, rote counting, and one-to-one correspondence. This is a great app for beginning math learners.\nMathTappers: Multiples - MathTappers: Multiples is a simple game designed first to help learners to make sense of multiplication and division with whole numbers, and then to support them in developing fluency while maintaining accuracy.\nTeaching Number Lines: Little Monkey Apps Number Lines helps to introduce the concept of number lines through a variety of of modules such as: counters, drawings, and number lines in order to explain and physically model problems. Little Monkey Apps Number Lines aims to visualize numbers for rote counting and ordering and see the physical position of a number linking patterns and relationships. Great for student in K through 2.\nK12 Equivalence Tiles - K12 Equivalence Tiles lets you compare the values of fractions, decimals, and percents up to 1 by using draggable tiles of varying values. K12 is not a calculator; it is a tool for students who have trouble understanding rational number equivalence (for example, 0.5, 1/2, 50% are all equal). This tool also allows students to visually perform simple operations like addition, subtraction, comparison, and ordering. This is a great app for upper elementary grades.\nRounding - Rounding is a great way to test your rounding skills and have fun at the same time. Select the number of problems and other options in order to correlate with your skill level.\nInteractive Math Glossary -The Interactive Math Glossary App is provided by the Texas Education Agency to help teachers explore and understand mathematics vocabulary used in the grades K–8 Texas Essential Knowledge and Skills. Each glossary word is displayed in a four quadrant Frayer Model.\nScience 360 - This app will allow your students to scroll the 3D sphere that is made of thumbnails of various science photos and videos. Tap on any one of those thumbnails to bring up the recent updates from National Science Foundation (NSF) or institutions funded by NSF. All contents are multimedia and are updated weekly, so you always get the most recent development of science and technology.\nNASA - The NASA app carries a wealth of NASA information right on your iPad. The app collects, customizes and delivers an extensive selection of dynamically updated mission information, images, videos. It has information about the planets, live streaming of NASA TV, and on demand NASA video.\nWWF Together- Experience the world's most amazing and endangered animals in one app – together. This interactive experience brings you closer to the stories of elephants, whales, rhinos and other fascinating species. Discover their lives and the work of WWF in a way you’ve never seen before. Try out “tiger vision,” stay as still as the polar bear during a hunt, and chop the panda’s bamboo. Explore the animals’ stories, then fold them up and share them with the world.\nRobots for IPADS - Robots for iPad is the best, most complete guide to the world of robotics. This fun, highly interactive app lets you explore over 150 real-world robots, with hundreds of animations, photos, videos, and articles\nKids Can Match - An interactive, adaptive and fun memory game for children of all ages. This app contains amazing, one of a kind, collection of over 70 authentic animal images and sounds. The perfect way to engage children in a fun game while they learn about a broad range of animals from all over the world. Tailor made and carefully designed by experienced educators to fit the needs of small children. This educational game is a wonderful asset in any animal loving family.\nTalkboard- Talkboard is the canvas for collaborative learning. Work with your students, wherever they are, on a shared whiteboard to bridge the gap in distance between you. Then harness your creativity to bring color and clarity to your lessons. Talkboard’s simple yet elegant drawing tools and integrated audio allow you to engage students in a whole new way.", "domain": "mathematics"} {"url": "http://physicistjcbblgn.blogspot.com/2012/01/history-of-mathematics.html", "date": "2018-07-15T20:38:56Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-30/segments/1531676588972.37/warc/CC-MAIN-20180715203335-20180715223335-00267.warc.gz", "language_score": 0.9584181308746338, "token_count": 3615, "dump": "CC-MAIN-2018-30", "global_id": "webtext-fineweb__CC-MAIN-2018-30__0__75487177", "lang": "en", "text": "BY PROF JACOB\nThe area of study known as the history of mathematics is primarily an investigation into the origin of discoveries in mathematics and, to a lesser extent, an investigation into the mathematical methods and notation of the past.\nBefore the modern age and the worldwide spread of knowledge, written examples of new mathematical developments have come to light only in a few locales. The most ancient mathematical texts available are Plimpton 322 (Babylonian mathematics c. 1900 BC), the Rhind Mathematical Papyrus (Egyptian mathematics c. 2000-1800 BC) and the Moscow Mathematical Papyrus (Egyptian mathematics c. 1890 BC). All of these texts concern the so-called Pythagorean theorem, which seems to be the most ancient and widespread mathematical development after basic arithmetic and geometry.\nThe study of mathematics as a subject in its own right begins in the 6th century BC with the Pythagoreans, who coined the term \"mathematics\" from the ancient Greek μάθημα (mathema), meaning \"subject of instruction\". Greek mathematics greatly refined the methods (especially through the introduction of deductive reasoning and mathematical rigor in proofs) and expanded the subject matter of mathematics. Chinese mathematics made early contributions, including a place value system. The Hindu-Arabic numeral system and the rules for the use of its operations, in use throughout the world today, likely evolved over the course of the first millennium AD in India and was transmitted to the west via Islamic mathematics. Islamic mathematics, in turn, developed and expanded the mathematics known to these civilizations. Many Greek and Arabic texts on mathematics were then translated into Latin, which led to further development of mathematics in medieval Europe.\nFrom ancient times through the Middle Ages, bursts of mathematical creativity were often followed by centuries of stagnation. Beginning in Renaissance Italy in the 16th century, new mathematical developments, interacting with new scientific discoveries, were made at an increasing pace that continues through the present day.\n Prehistoric mathematicsThe origins of mathematical thought lie in the concepts of number, magnitude, and form. Modern studies of animal cognition have shown that these concepts are not unique to humans. Such concepts would have been part of everyday life in hunter-gatherer societies. The idea of the \"number\" concept evolving gradually over time is supported by the existence of languages which preserve the distinction between \"one\", \"two\", and \"many\", but not of numbers larger than two.\nThe oldest known possibly mathematical object is the Lebombo bone, discovered in the Lebombo mountains of Swaziland and dated to approximately 35,000 BC. It consists of 29 distinct notches cut into a baboon's fibula. Also prehistoric artifacts discovered in Africa and France, dated between 35,000 and 20,000 years old, suggest early attempts to quantify time.\nThe Ishango bone, found near the headwaters of the Nile river (northeastern Congo), may be as much as 20,000 years old and consists of a series of tally marks carved in three columns running the length of the bone. Common interpretations are that the Ishango bone shows either the earliest known demonstration of sequences of prime numbers or a six month lunar calendar. In the book How Mathematics Happened: The First 50,000 Years, Peter Rudman argues that the development of the concept of prime numbers could only have come about after the concept of division, which he dates to after 10,000 BC, with prime numbers probably not being understood until about 500 BC. He also writes that \"no attempt has been made to explain why a tally of something should exhibit multiples of two, prime numbers between 10 and 20, and some numbers that are almost multiples of 10.\"\nPredynastic Egyptians of the 5th millennium BC pictorially represented geometric designs. It has been claimed that megalithic monuments in England and Scotland, dating from the 3rd millennium BC, incorporate geometric ideas such as circles, ellipses, and Pythagorean triples in their design.\nAll of the above are disputed however, and the currently oldest undisputed mathematical usage is in Babylonian and dynastic Egyptian sources. Thus it took human beings at least 45,000 years from the attainment of behavioral modernity and language (generally thought to be a long time before that) to develop mathematics as such.\n Babylonian mathematicsBabylonian mathematics refers to any mathematics of the people of Mesopotamia (modern Iraq) from the days of the early Sumerians through the Hellenistic period almost to the dawn of Christianity. It is named Babylonian mathematics due to the central role of Babylon as a place of study. Later under the Arab Empire, Mesopotamia, especially Baghdad, once again became an important center of study for Islamic mathematics.\nIn contrast to the sparsity of sources in Egyptian mathematics, our knowledge of Babylonian mathematics is derived from more than 400 clay tablets unearthed since the 1850s. Written in Cuneiform script, tablets were inscribed whilst the clay was moist, and baked hard in an oven or by the heat of the sun. Some of these appear to be graded homework.\nThe earliest evidence of written mathematics dates back to the ancient Sumerians, who built the earliest civilization in Mesopotamia. They developed a complex system of metrology from 3000 BC. From around 2500 BC onwards, the Sumerians wrote multiplication tables on clay tablets and dealt with geometrical exercises and division problems. The earliest traces of the Babylonian numerals also date back to this period.\nThe majority of recovered clay tablets date from 1800 to 1600 BC, and cover topics which include fractions, algebra, quadratic and cubic equations, and the calculation of regular reciprocal pairs. The tablets also include multiplication tables and methods for solving linear and quadratic equations. The Babylonian tablet YBC 7289 gives an approximation of √2 accurate to five decimal places.\nBabylonian mathematics were written using a sexagesimal (base-60) numeral system. From this derives the modern day usage of 60 seconds in a minute, 60 minutes in an hour, and 360 (60 x 6) degrees in a circle, as well as the use of seconds and minutes of arc to denote fractions of a degree. Babylonian advances in mathematics were facilitated by the fact that 60 has many divisors. Also, unlike the Egyptians, Greeks, and Romans, the Babylonians had a true place-value system, where digits written in the left column represented larger values, much as in the decimal system. They lacked, however, an equivalent of the decimal point, and so the place value of a symbol often had to be inferred from the context.\n Egyptian mathematicsEgyptian mathematics refers to mathematics written in the Egyptian language. From the Hellenistic period, Greek replaced Egyptian as the written language of Egyptian scholars. Mathematical study in Egypt later continued under the Arab Empire as part of Islamic mathematics, when Arabic became the written language of Egyptian scholars.\nThe most extensive Egyptian mathematical text is the Rhind papyrus (sometimes also called the Ahmes Papyrus after its author), dated to c. 1650 BC but likely a copy of an older document from the Middle Kingdom of about 2000-1800 BC. It is an instruction manual for students in arithmetic and geometry. In addition to giving area formulas and methods for multiplication, division and working with unit fractions, it also contains evidence of other mathematical knowledge, including composite and prime numbers; arithmetic, geometric and harmonic means; and simplistic understandings of both the Sieve of Eratosthenes and perfect number theory (namely, that of the number 6). It also shows how to solve first order linear equations as well as arithmetic and geometric series.\nAnother significant Egyptian mathematical text is the Moscow papyrus, also from the Middle Kingdom period, dated to c. 1890 BC. It consists of what are today called word problems or story problems, which were apparently intended as entertainment. One problem is considered to be of particular importance because it gives a method for finding the volume of a frustum: \"If you are told: A truncated pyramid of 6 for the vertical height by 4 on the base by 2 on the top. You are to square this 4, result 16. You are to double 4, result 8. You are to square 2, result 4. You are to add the 16, the 8, and the 4, result 28. You are to take one third of 6, result 2. You are to take 28 twice, result 56. See, it is 56. You will find it right.\"\nFinally, the Berlin papyrus (c. 1300 BC) shows that ancient Egyptians could solve a second-order algebraic equation.\n Greek mathematicsGreek language from the time of Thales of Miletus (~600 BC) to the closure of the Academy of Athens in 529 AD. Greek mathematicians lived in cities spread over the entire Eastern Mediterranean, from Italy to North Africa, but were united by culture and language. Greek mathematics of the period following Alexander the Great is sometimes called Hellenistic mathematics.\nGreek mathematics was much more sophisticated than the mathematics that had been developed by earlier cultures. All surviving records of pre-Greek mathematics show the use of inductive reasoning, that is, repeated observations used to establish rules of thumb. Greek mathematicians, by contrast, used deductive reasoning. The Greeks used logic to derive conclusions from definitions and axioms, and used mathematical rigor to prove them.\nGreek mathematics is thought to have begun with Thales of Miletus (c. 624–c.546 BC) and Pythagoras of Samos (c. 582–c. 507 BC). Although the extent of the influence is disputed, they were probably inspired by Egyptian and Babylonian mathematics. According to legend, Pythagoras traveled to Egypt to learn mathematics, geometry, and astronomy from Egyptian priests.\ngeometry to solve problems such as calculating the height of pyramids and the distance of ships from the shore. He is credited with the first use of deductive reasoning applied to geometry, by deriving four corollaries to Thales' Theorem. As a result, he has been hailed as the first true mathematician and the first known individual to whom a mathematical discovery has been attributed. Pythagoras established the Pythagorean School, whose doctrine it was that mathematics ruled the universe and whose motto was \"All is number\". It was the Pythagoreans who coined the term \"mathematics\", and with whom the study of mathematics for its own sake begins. The Pythagoreans are credited with the first proof of the Pythagorean theorem, though the statement of the theorem has a long history, and with the proof of the existence of irrational numbers.\nPlato (428/427 BC – 348/347 BC) is important in the history of mathematics for inspiring and guiding others. His Platonic Academy, in Athens, became the mathematical center of the world in the 4th century BC, and it was from this school that the leading mathematicians of the day, such as Eudoxus of Cnidus, came from. Plato also discussed the foundations of mathematics, clarified some of the definitions (e.g. that of a line as \"breadthless length\"), and reorganized the assumptions. The analytic method is ascribed to Plato, while a formula for obtaining Pythagorean triples bears his name.\nEudoxus (408–c.355 BC) developed the method of exhaustion, a precursor of modern integration and a theory of ratios that avoided the problem of incommensurable magnitudes. The former allowed the calculations of areas and volumes of curvilinear figures, while the latter enabled subsequent geometers to make significant advances in geometry. Though he made no specific technical mathematical discoveries, Aristotle (384—c.322 BC) contributed significantly to the development of mathematics by laying the foundations of logic.\nIn the 3rd century BC, the premier center of mathematical education and research was the Musaeum of Alexandria. It was there that Euclid (c. 300 BC) taught, and wrote the Elements, widely considered the most successful and influential textbook of all time. The Elements introduced mathematical rigor through the axiomatic method and is the earliest example of the format still used in mathematics today, that of definition, axiom, theorem, and proof. Although most of the contents of the Elements were already known, Euclid arranged them into a single, coherent logical framework. The Elements was known to all educated people in the West until the middle of the 20th century and its contents are still taught in geometry classes today. In addition to the familiar theorems of Euclidean geometry, the Elements was meant as an introductory textbook to all mathematical subjects of the time, such as number theory, algebra and solid geometry, including proofs that the square root of two is irrational and that there are infinitely many prime numbers. Euclid also wrote extensively on other subjects, such as conic sections, optics, spherical geometry, and mechanics, but only half of his writings survive.\nArchimedes (c.287–212 BC) of Syracuse, widely considered the greatest mathematician of antiquity, used the method of exhaustion to calculate the area under the arc of a parabola with the summation of an infinite series, in a manner not too dissimilar from modern calculus. He also showed one could use the method of exhaustion to calculate the value of π with as much precision as desired, and obtained the most accurate value of π then known, 310⁄71 < π < 310⁄70. He also studied the spiral bearing his name, obtained formulas for the volumes of surfaces of revolution (paraboloid, ellipsoid, hyperboloid), and an ingenious system for expressing very large numbers. While he is also known for his contributions to physics and several advanced mechanical devices, Archimedes himself placed far greater value on the products of his thought and general mathematical principles. He regarded as his greatest achievement his finding of the surface area and volume of a sphere, which he obtained by proving these are 2/3 the surface area and volume a cylinder circumscribing the sphere.\nApollonius of Perga (c. 262-190 BC) made significant advances to the study of conic sections, showing that one can obtain all three varieties of conic section by varying the angle of the plane that cuts a double-napped cone. He also coined the terminology in use today for conic sections, namely parabola (\"place beside\" or \"comparison\"), \"ellipse\" (\"deficiency\"), and \"hyperbola\" (\"a throw beyond\"). His work Conics is one of the best known and preserved mathematical works from antiquity, and in it he derives many theorems concerning conic sections that would prove invaluable to later mathematicians and astronomers studying planetary motion, such as Isaac Newton. While neither Apollonius nor any other Greek mathematicians made the leap to coordinate geometry, Apollonius' treatment of curves is in some ways similar to the modern treatment, and some of his work seems to anticipate the development of analytical geometry by Descartes some 1800 years later.\nAround the same time, Eratosthenes of Cyrene of Cyrene (c. 276-194 BC) devised the Sieve of Eratosthenes for finding prime numbers. The 3rd century BC is generally regarded as the \"Golden Age\" of Greek mathematics, with advances in pure mathematics henceforth in relative decline. Nevertheless, in the centuries that followed significant advances were made in applied mathematics, most notably trigonometry, largely to address the needs of astronomers. Hipparchus of Nicaea (c. 190-120 BC) is considered the founder of trigonometry for compiling the first known trigonometric table, and to him is also due the systematic use of the 360 degree circle. Heron of Alexandria (c. 10–70 AD) is credited with Heron's formula for finding the area of a scalene triangle and with being the first to recognize the possibility of negative numbers possessing square roots. Menelaus of Alexandria (c. 100 AD) pioneered spherical trigonometry through Menelaus' theorem. The most complete and influential trigonometric work of antiquity is the Almagest of Ptolemy (c. AD 90-168), a landmark astronomical treatise whose trigonometric tables would be used by astronomers for the next thousand years. Ptolemy is also credited with Ptolemy's theorem for deriving trigonometric quantities, and the most accurate value of π outside of China until the medieval period, 3.1416.\nFollowing a period of stagnation after Ptolemy, the period between 250 and 350 AD is sometimes referred to as the \"Silver Age\" of Greek mathematics. During this period, Diophantus made significant advances in algebra, particularly indeterminate analysis, which is also known as \"Diophantine analysis\". The study of Diophantine equations and Diophantine approximations is a significant area of research to this day. His main work was the Arithmetica, a collection of 150 algebraic problems dealing with exact solutions to determinate and indeterminate equations. The Arithmetica had a significant influence on later mathematicians, such as Pierre de Fermat, who arrived at his famous Last Theorem after trying to generalize a problem he had read in the Arithmetica (that of dividing a square into two squares). Diophantus also made significant advances in notation, the Arithmetica being the first instance of algebraic symbolism and syncopation.", "domain": "mathematics"} {"url": "https://ijobs.co.za/maths-and-science-tutor/", "date": "2020-05-27T13:11:03Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-24/segments/1590347394074.44/warc/CC-MAIN-20200527110649-20200527140649-00391.warc.gz", "language_score": 0.9166067242622375, "token_count": 409, "dump": "CC-MAIN-2020-24", "global_id": "webtext-fineweb__CC-MAIN-2020-24__0__46005400", "lang": "en", "text": "Maths and Science Tutor wanted immediately: APPLY NOW\nMaster Maths Morningside is currently looking for mathematics and/or physical science tutor.\nMaster Maths Morningside is part of a well-established franchise concern, which has been providing extra tuition for over 40 years, to learners from junior level to adults. Our successful candidate must have exceptional customer service skills, over the phone and in person. Must be computer savvy.\nThe closing date for applications is 1 December 2019.\nPlease only submit your CV if the following applies to you:\nYou achieved 70% or more for maths or physical science in the final matric exam, or you have a relevant tertiary qualification.\nYou will be required to tutor up to grade 12 level for maths and physical science.\n70% or more for maths and/or physical science in the final matric exam.\nSpeak fluent English.\nSouth African passport or valid work visa.\nMotivated by success in your job.\nA people’s person and you think you might enjoy tutoring.\nAble to interact successfully with young children.\nPrior experience in a maths and/or science tutoring job is an advantage.\nYou’re available to work between 10:00 and 19:00 on weekdays, 09:00 to 13:00 on Saturdays or times as required by the role.\nHave your own transport.\nYou must have the ability to get on with young people. Be well-groomed with an attitude to get involved in every aspect of the business.\nRequires an ability to explain mathematics or physical science pleasantly and with an enthusiastic personality.\nPreparation and detailed recording of student progress for each individual student.\nThe position requires that you assist with admin responsibilities.\nJob Type: Contract\nLocation: Morningside, Gauteng (Preferred)\nLanguage: fluent English (Required)\nDid you achieve at least 70% for maths or science in Gr12 (Required)", "domain": "mathematics"} {"url": "https://www.blackstonebookstore.com/book/9780316509046", "date": "2024-02-25T17:40:20Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947474641.34/warc/CC-MAIN-20240225171204-20240225201204-00565.warc.gz", "language_score": 0.9443984031677246, "token_count": 706, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__108999079", "lang": "en", "text": "Math with Bad Drawings: Illuminating the Ideas That Shape Our Reality (Paperback)\nIn Math with Bad Drawings, Ben Orlin reveals what math is all about. His tools are unorthodox: jokes, cartoons, strange-but-true stories, and beneath it all, the empathy of a veteran teacher who believes that math should belong to everyone. Orlin helps us to think like mathematicians by teaching a brand-new game of tic-tac-toe, profiling the ten people you meet in line for the lottery, and documenting the headaches that ensue when the Evil Empire attempts to build a spherical Death Star. Math with Bad Drawings will change the way you see the subject—and the world.\nBen Orlin is the author of Math with Bad Drawings (as well as the blog of the same name), Math Games with Bad Drawings and the companion game kit The Ultimate Game Collection, and Change Is the Only Constant. His writing on math and education has appeared in The Atlantic, the Chicago Tribune, the Los Angeles Times, Slate, Vox, and Popular Science. He has taught middle and high school mathematics and has spoken about math and education at colleges and universities across the United States. He lives with his family in St. Paul, Minnesota.\n\"Ben Orlin is terribly bad at drawing. Luckily he's also fantastically clever and charming. His talents have added up to the most glorious, warm, and witty illustrated guide to the irresistible appeal of mathematics.\"—Hannah Fry, mathematician, University College London and BBC presenter\n\"Brilliant, wide ranging, and irreverent, Math with Bad Drawings adds ha ha to aha. It'll make you smile - plus it might just make you smarter and wiser.\"—Steven Strogatz, Professor of Mathematics, Cornell University, author of The Joy of x\n\"MATH WITH BAD DRAWINGS is a gloriously goofy word-number-and-cartoon fest that drags math out of the classroom and into the sunlight where it belongs. Great for your friend who thinks they hate math - actually, great for everyone!\"—Jordan Ellenberg, author of How Not To Be Wrong\n\"Ben Orlin has hit the seemingly unattainable sweet spot. He has written a book that is funny and serious, that is entertaining and informative, and that would interest a reader with or without a background in mathematics. Math with Bad Drawings would be a wonderful book for people who love math, used to love math, want to love math, want to know what math is good for, or just want to know what math really is.\"—Math Horizons\n\"Orlin's ability to masterfully convey interesting and complex mathematical ideas through the whimsy of drawings (that, contrary to the suggestion of the title, are actually not that bad) is unparalleled. This is a great work showing the beauty of mathematics as it relates to our world. This is a must read for anyone who ever thought math isn't fun, or doesn't apply to the world we live in!\"—John Urschel, mathematician named to Forbes® \"30 Under 30\" list of outstanding young scientists and former NFL player\n\"Illuminating, inspiring, and hilarious, Math with Bad Drawings is everything you wanted to learn in class but never thought to ask. A joyful romp through mathematics and all its wisdom.\"—Bianca Bosker, author of the New York Times-bestselling Cork Dork", "domain": "mathematics"} {"url": "http://www.ce.ncsu.edu/faculty/kumar-mahinthakumar/", "date": "2016-06-27T07:40:35Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2016-26/segments/1466783395679.18/warc/CC-MAIN-20160624154955-00065-ip-10-164-35-72.ec2.internal.warc.gz", "language_score": 0.9184736609458923, "token_count": 324, "dump": "CC-MAIN-2016-26", "global_id": "webtext-fineweb__CC-MAIN-2016-26__0__125088197", "lang": "en", "text": "Dr Mahinthakumar is interested in large scale modeling of subsurface flow and transport, parallel and distributed computing, optimization and inverse problems, water distribution system analysis\nDr. Mahinthakumar's (referred to as Dr. Kumar by his students) long term goal is to develop efficient algorithms and tools to solve large scale civil and environmental engineering problems.\nDr. Kumar is currently focused on 1) real time optimization and inverse modeling for water distribution systems analysis, 2) large scale modeling and characterization of groundwater flow and transport systems, 3) parallel and distributed computing algorithms and tools for environmental applications.\nIn CCEE, Dr. Kumar collaborates with Dr. Arumugam, Dr. Brill, Dr. DeCarolis and Dr. Ranjithan.\nAt the graduate level, Dr. Kumar teaches Introduction to Numerical Methods for Civil Engineers (CE 536), High Performance Computing for Civil Engineers (CE 791A), and Inverse Modeling for Civil Engineers (CE 791B). In Numerical Methods, he teaches application of common numerical methods to civil engineering problem solving. The high performance computing course is a project based course focused on parallel and distributed computing algorithms for large scale civil engineering applications. The inverse modeling course focuses on heuristic and gradient based search techniques as well as Markov Chain Monte Carlo methods for the solution of civil engineering parameter estimation and system identification problems. The graduate students who work with Dr. Kumar enjoy computer programming and are interested in developing innovative methods and tools for large scale civil engineering problem solving.\nWebsite design and development by ITECS", "domain": "mathematics"} {"url": "http://homeworkguard.com/math-assignment-help/", "date": "2014-04-21T15:08:43Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2014-15/segments/1397609540626.47/warc/CC-MAIN-20140416005220-00139-ip-10-147-4-33.ec2.internal.warc.gz", "language_score": 0.9433592557907104, "token_count": 657, "dump": "CC-MAIN-2014-15", "global_id": "webtext-fineweb__CC-MAIN-2014-15__0__131092849", "lang": "en", "text": "Professional Math Homework Assistance\nCompleting mathematics homework can be both time-consuming and frustrating. This is especially true if you are required to complete a mathematics course but just don’t understand the subject at all. It seems that no matter how hard you study, how often you visit your teacher or professor outside of class, or seek out math assistance, you still just don’t get it. If you’re not good at math, there’s nothing wrong with you and you’re not stupid. Some people just have different talents. If you’ve been searching “do my math for me,” “help me with math,” or “solve my math,” you’ve landed on the right place. Whether you need help with algebra, calculus, discrete algebra, or any other kind of discrete math, HomeworkGuard.com is here to be your homework helper. There’s no need to stress out any more about math problems you don’t understand! Just use our math writing service!\nEven if you’re great at math, doing mathematics homework can still be time-consuming and take from your study or leisure time. This is especially true if you’re a physics, chemistry or per-med student. In addition to all your physics, chemistry, and medical problems that you must solve, there are other required math classes. This can leave you feeling cramped for time. You could switch majors or drop out of school completely, but why do that when there is math help online? At HomeworkGuard.com, we employ only people who have completed graduate programs in mathematics to help our student clients with their math assignments. They ensure that you will turn your assignments in on-time and that they will get you the best grades possible.\nWhile all of this seems reasonable, you might be asking yourself, “Why should I buy math assignments from HomeworkGuard?” The answers are all simple:\n- Only Professionals Do Your Assignments: When you order your math assignments from HomeworkGuard.com, know that it will be done by a knowledgeable person with a graduate degree in mathematics.\n- Less Frustration: If you’re not mathematically gifted, this means less stress and someone who is good at mathematics will be doing your homework for you.\n- More Time: When you’re not spending time working on your math problems, there’s more time for everything else. You can do your labs, study, write papers, spend time with friends, or just relax knowing that someone else is doing your work for you.\n- High-Quality and On-Time Delivery: Every math assignment completed by our math experts is high-quality, adheres to instructions, and is delivered on-time, every time.\n- Student Prices and Discounts: At HomeworkGuard.com, we understand that the majority of our clients are students. As such, we offer only reasonable prices in addition to our discounts for first-time and repeat customers.\nIf you’re tired of all the math assignments, leave it to the math masters at HomeworkGuard today!", "domain": "mathematics"} {"url": "https://raft.fandom.com/wiki/Golden_Toy_Robot", "date": "2022-08-08T03:26:06Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-33/segments/1659882570765.6/warc/CC-MAIN-20220808031623-20220808061623-00326.warc.gz", "language_score": 0.929152250289917, "token_count": 351, "dump": "CC-MAIN-2022-33", "global_id": "webtext-fineweb__CC-MAIN-2022-33__0__159337900", "lang": "en", "text": "|Golden Toy Robot|\nGolden Toy Robot is a decoration object that can be found through Treasure Hunting. It is found in the Safes that can be dug up. The Golden Toy Robot is the rare variant of the regular Toy Robot and is much rarer. When looting a Safe, there's a 2.3% chance of it being any robot in the first place. After becoming a robot, the game decides whether it be a regular Toy Robot (94.8%) or a Golden Toy Robot (5.2%).\nFollowing paragraph describes the calculation of the chance of getting a Golden Toy Robot. To get the Golden Toy Robot, the player must first find a Safe. Every treasure that is dug up has a 20% chance of being a Safe. This translates to 1/5. Getting a robot in the first place is 2.3%, which is roughly 1/50, and it being golden is another 5.2%, which is roughly 1/20. Getting this specific combination of rolls is therefore a 1/5000 or 0.02%, making the Golden Toy Robot the rarest item in the game. Note that this equation is rolled for all items within the container, meaning that if there are five items in the Safe, the player rolls for the 1/1000 chance five times. This means that on average, when looting a Safe, the player has roughly 0.5% chance of getting a single Golden Toy Robot.\n- Used to decorate the raft.\n|Update 12||Golden Toy Robot added to the game.|", "domain": "mathematics"} {"url": "http://ec2-34-199-89-106.compute-1.amazonaws.com/cube-roots/", "date": "2017-12-14T10:05:15Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2017-51/segments/1512948543611.44/warc/CC-MAIN-20171214093947-20171214113947-00763.warc.gz", "language_score": 0.8663967847824097, "token_count": 178, "dump": "CC-MAIN-2017-51", "global_id": "webtext-fineweb__CC-MAIN-2017-51__0__133537510", "lang": "en", "text": "This riveted me; I love mental maths. To cube root a number (assuming it’s a perfect cube), here are the steps, using 250,047 as our protagonist cube:\n- Ignoring the last 3 digits of the cube, find the first cube which is less than the remaining digits. 250 (ignoring 047) is the number in question, and 216 (63) is the first cube less than 250 — giving us 6.\n- Find the number from 1-10 that, when cubed, ends in the last digit of your cube. 250,047 ends in 7, which corresponds to the last digit of 27 (33). This number is the last digit of the cube root.\n- Voila! Those are the 2 digits of the cube root — 6 and 3 — giving us 63 as the cube root of 250,047.", "domain": "mathematics"} {"url": "https://mapleong.me/posts/2021-04-28-subtraction-with-addition/", "date": "2023-02-05T20:20:24Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-06/segments/1674764500288.69/warc/CC-MAIN-20230205193202-20230205223202-00299.warc.gz", "language_score": 0.8774316906929016, "token_count": 843, "dump": "CC-MAIN-2023-06", "global_id": "webtext-fineweb__CC-MAIN-2023-06__0__168971106", "lang": "en", "text": "Subtraction with Addition: Two's Complement\nSubtracting numbers on paper is easy, but how does a computer do it? Most computer operations can be reduced to additions of binary numbers… even when the operation is subtraction. To understand how this works, let’s first think about how an odometer works.\nLet’s say you’ve driven 7631 miles and really want to celebrate your 9999th mile and see the odometer return to 0000. You would have to drive 2368 miles to reach 9999 miles. When you’ve hit 9999 miles, the odometer returns to 0000 and the cycle continues.\nAnd so the total amount of miles you had to drive was 2368 to hit 9999 and then 1 mile to hit 10000.\nThe formula to calculate the amount of miles you have to drive to hit 9999 miles is:\n7631 + x = 9999 x = 9999 - 7631 x = 2368 2368 + 1 = 2369 miles driven in total for odometer reset.\nThe mind-blowing part of this is that 2369 is the negative equivalent of 7631. How?\nLet’s pick another random 4-digit number and subtract 7631 from it:\n9473 - 7631 = 1842\nThat's also equivalent to adding negative 7631:\n9473 + (-7631) = 1842\nLet’s substitute -7631 for its positive equivalent:\n9473 + 2369 = 11842\n11842 looks familiar doesn’t it? Since we’re operating in a 4-digit system, we drop the first digit and we have 1842, the correct result of the subtraction.\nWe can also use this negative representation of the number in other equations:\n2354 - 7631 = -5277\nSo -5277 is the correct answer.\nLet’s convert that answer back to the positive equivalent:\n5277 - 1 = 5276 9999 - 5276 = 4723\nNow… let’s see what happens when we only use addition with the positive equivalent number:\n2354 + (-7631) 2354 + 2369 = 4723\n🎉 Voila! Obviously, converting 4723 to its negative equivalent will result in -5277!\nHowever! Instead of reversing the calculation like we just did, we can also covert a negative to a positive using the exact same procedure without reversing it:\n9999 - 5277 = 4722 4722 - 1 = 4723\n🎉 And the result is back to 4723.\nThis method is called the two's complement and is exactly how computers implement signed binary numbers! We just looked at base-10 numbers, but computers work in binary, base-2.\nThe same idea applies in binary. Take the binary number 0110.\nThe negative number of 0110 can be calculated in the same way, except the odometer resets at 1111 and not 9999.\n1111 - 0110 = 1001 1001 + 0001 = 1010\nWith that, the negative number for 0110 is 1010. We can then do similar calculations, let’s say 7 minus 6.\n7 - 6 = 1 (in decimal) 0111 - 0110 (in binary) 0111 + (- 0110) 0111 + 1010 = 10001, drop the first digit, resulting in 1!\nTypically the computer uses 16-bit inputs, following this example means instead of 4-digit, computers use 16-digit binary numbers.\nThe system can code a total of 2n signed numbers, where 2n-1 - 1 and -2n-1 represent the number of positive values and negative values respectively. This means in a 4-bit system, the total number of numbers (haha!) represented is 24 = 16, where we can go up to positive 7 and as low as -8.\nThe two's complement is implemented in the hardware of the Arithmetic Logical Unit chip that makes up the CPU.", "domain": "mathematics"} {"url": "https://www.dondepiso.com/blogs/blog/ada-lovelace-the-pioneer-of-computer-programming", "date": "2024-04-21T09:15:14Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296817729.87/warc/CC-MAIN-20240421071342-20240421101342-00702.warc.gz", "language_score": 0.9667749404907227, "token_count": 1003, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__74958411", "lang": "en", "text": "The Early Life of Ada Lovelace\nAda Lovelace, born Augusta Ada Byron, is widely regarded as the world's first computer programmer. She was born on December 10, 1815, in London, England. Ada had a fascinating upbringing, being the daughter of Lord Byron, the famous poet, and Anne Isabella Milbanke, a mathematician.\nDespite her parents' separation when she was just a few weeks old, Ada's mother ensured that she received a well-rounded education. At an early age, Ada developed a keen interest in mathematics and science, showing exceptional aptitude in these subjects.\nAda's passion for numbers and calculations grew as she delved deeper into her studies. She was tutored by some of the best mathematicians and scientists of her time, including Augustus De Morgan and Mary Somerville. These mentors recognized Ada's brilliance and nurtured her love for mathematics and logical reasoning.\nAda's Introduction to Charles Babbage\nAda Lovelace's interest in mathematics and science was further nurtured by her mother, who introduced her to prominent mathematicians and scientists of the time. At the age of 17, Ada met Charles Babbage, a renowned mathematician and inventor. Babbage's invention, the Analytical Engine, is considered the precursor to modern computers. This encounter would prove to be a turning point in Ada's life.\nCharles Babbage recognized Ada's exceptional mathematical abilities and intellect. He became her mentor and close collaborator, fostering her interest in the world of computing and laying the foundation for her groundbreaking work in computer programming.\nThe Collaboration Between Ada and Charles Babbage\nAda Lovelace's collaboration with Charles Babbage was instrumental in shaping her legacy as the pioneer of computer programming. She translated and annotated an article written by Italian engineer Luigi Menabrea about Babbage's Analytical Engine. Ada's annotations, which were three times longer than the original article, included a method for calculating Bernoulli numbers using the Analytical Engine.\nWhat set Ada's annotations apart was her visionary insight. She recognized that the Analytical Engine had the potential to do more than just calculations. She envisioned it as a general-purpose machine that could be programmed to perform various tasks beyond number crunching. Ada's notes included algorithms for generating complex graphics and music, making her the first to articulate the concept of software.\nAda's work on the Analytical Engine demonstrated her deep understanding of its potential and laid the foundation for modern computer programming. Her ideas were far ahead of her time, anticipating the development of computer programs and the possibilities they could unlock.\nLovelace's Vision for the Analytical Engine\nAda Lovelace's vision for the Analytical Engine went beyond mere calculations. She saw its potential for creating not only numerical results but also generating complex graphics and music. Her foresight in recognizing the capabilities of the Analytical Engine as a general-purpose computing machine laid the foundation for modern computer programming.\nAda's notes on the Analytical Engine were published in 1843, in an English science journal. However, due to the prevailing gender biases of the time, her work received little attention and was not widely understood or acknowledged.\nIt was not until the late 20th century that Ada Lovelace's contributions to computer programming were fully recognized. Computer scientists and historians revisited her work and acknowledged her as the world's first computer programmer. They marveled at her ability to grasp the potential of computing machines and her visionary ideas that remain relevant even today.\nThe Legacy of Ada Lovelace\nAda Lovelace's contributions to the field of computer programming were ahead of her time. Unfortunately, her work went largely unnoticed during her lifetime. It was only in the mid-20th century that her notes on Babbage's Analytical Engine were rediscovered and recognized for their significance.\nToday, Ada Lovelace is celebrated as a pioneer and visionary in the world of computer science. Her insights and ideas continue to inspire generations of programmers and technologists. The second Tuesday of October is observed as Ada Lovelace Day in her honor, to recognize the achievements of women in science, technology, engineering, and mathematics (STEM).\nAda Lovelace's remarkable contributions to computer programming laid the groundwork for the digital revolution that followed. Her visionary ideas and analytical prowess continue to shape the world of technology today. Ada Lovelace will forever be remembered as the pioneer who paved the way for future generations of programmers.\nAda Lovelace's remarkable journey from being the daughter of a famous poet to becoming the pioneer of computer programming is a testament to her brilliance, determination, and forward-thinking mindset. She overcame societal barriers and made invaluable contributions that continue to shape the world we live in. Ada Lovelace's legacy serves as an inspiration for aspiring programmers, reminding us of the power of ideas and the impact one person can make on the world.", "domain": "mathematics"} {"url": "https://www.karincaproduksiyon.com/2019/10/11/ideas-formulas-and-shortcuts-for-what-is-simplest-form-in-math/", "date": "2023-03-25T13:07:48Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-14/segments/1679296945333.53/warc/CC-MAIN-20230325130029-20230325160029-00328.warc.gz", "language_score": 0.9366070628166199, "token_count": 1245, "dump": "CC-MAIN-2023-14", "global_id": "webtext-fineweb__CC-MAIN-2023-14__0__247105353", "lang": "en", "text": "Ideas, Formulas and Shortcuts for What Is Simplest Form in Math\nThe Downside Risk of What Is Simplest Form in Math\nText is among the most naturally compact types of information at about one byte necessary to store each letter. After the button is first pressed, the cursor is situated in the top box ready that you enter the numerator. Consult with the link for details about how to ascertain the best common divisor.\nExclusively by doing a proof can you get to the deep insights that mathematics offersthat inform you why something is correct, not merely buy research papers that it’s true. You also have to concentrate on the new vocabulary (look this up in a math dictionary for another opinion). Each math topic has a lot of unique kinds of math worksheets to cover various forms of problems you may decide to work on.\nFor example, even when you think of an ideal, objective measure of the caliber of a paper, it’s still hard to judge a journal. If you learn formulas as you go, it can help you to comprehend what’s happening in the new stuff you’re studying. Beyond formulas, the app delivers mathematical concepts, advice, and examples on equations in a very complete method which makes it straightforward to understand for students that are looking to acquire extra understanding.\nFor https://www.privatewriting.com/essay-writer one-time payments, locking in exchange rates may also be helpful if you ought to make a huge transfer for an upcoming given date ( for instance, making a down payment on a house) and the marketplace is unstable. 1 formula to figure opportunity costs might be the ratio of what you’re sacrificing to what it is you’re gaining. Some benefits made available by FX brokers consist of no cost transfers, online money transfers, better exchange prices, 24-hour support, and access to internet tools like foreign exchange alerts and the capability to set your personal desired exchange rate.\nThe very last thing that remains is to demonstrate your plot with the aid of the show() function! For instance, if someone is provided a list of randomized numbers ranging from one to ten thousand and is requested to put them in ascending order, odds are it will have a sizable period of time and include some errors. There are normally many methods to address a issue.\nWhat Is Simplest Form in Math Explained\nIf you enjoy acronyms, consider combining them https://www.missouriwestern.edu/biology/ along with the Memory Palace technique. If you choose to analyze data on a spreadsheet, this is expected to be your go-to tool. Additional users are given the capability to send or email distinctive values back in the calculator instead of being required to memorize long equations and values.\nYou still remember how a vector was characterized in the prior section as scalar magnitudes that were extended a direction. A correlation indicates that the 2 variables are related somehow. A particle isn’t as easy because I have naively described.\nUtilizing these tools in a professional context, however, could require a little more. Fantastic news is that there’s a technique that comes to our rescue. For instance, the successful candidate may need to understand how to establish a company email system or know which social media platforms are best for the provider’s marketing.\nIndustrial support and training are readily available. Uni-Paper, Think Free’s internet viewer program is extremely handy when you must view any spreadsheet document. The majority of the material is pertinent to any Introductory Business course with concepts that would make an application for a lengthy time.\nYou can also locate the factorial of a number utilizing recursion. The last sequence is known as the Fibonacci sequence. To truly understand this you require a little quantity of math, but zero math is unfortunately insufficient.\nIt is possible to add several numbers and locate the total or sum working with this sum of numbers calculator. In order to understand how the variables relate to one another, you create scatterplots. Be aware that the denominator of a fraction may not be 0, as it would produce the fraction undefined.\nWhat Is Simplest Form in Math Secrets That No One Else Knows About\nAimed at advanced users, it delivers an extremely full feature set in addition to an intuitive interface. Authorea is an excellent on-line LaTeX editor, and possesses many of the distinguished features provided by the earlier mentioned tools. If you’re giving a presentation via slideshow, it’s possible to even insert a video in your presentation with no tech abilities.\nWhat Is Simplest Form in Math – Dead or Alive?\nWith girls, you would like to tie what you’re teaching into real life. For many individuals, math is a really hard subject, and a great deal of teachers aren’t able to give students the one-on-one help they may require as a way to master math. The boys are simply the opposite,” he explained.\nA small amount of work on learning the basics will create enormous advantages. As there are many alternatives, it can be difficult to nail down the perfect one for your requirements. This magnificent machine changed our lives in lots of ways.\nZoom in on an object until it will become fuzzy or you can just find a little portion of the overall image. It is likewise an amazing chance to acquire on on the ground floor of some really strong tech. Use a larger chisel to carve the interior of the snowflake if you’ve got one.\nTop Choices of What Is Simplest Form in Math\nIt’s a mature project that has existed for quite a couple of years. You can locate a URL to an illustration of quite good mathematical papers published in this proceedings. See our disclosure policy for more information.\nAt the previous time of examination you won’t have the ability to refer the entire book. Ultimately, Section 6 provides a overall overview of the key findings of this study. OK, you’re done with the quiz.", "domain": "mathematics"} {"url": "https://www.b2aprep.com/sharon-noh-gateway", "date": "2023-12-07T04:38:17Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100632.0/warc/CC-MAIN-20231207022257-20231207052257-00039.warc.gz", "language_score": 0.9525543451309204, "token_count": 329, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__216678613", "lang": "en", "text": "College Admissions Counselor\nMath/Science & Test Prep Instructor\nUniversity of California, Los Angeles (Psychobiology, B.S.)\nUniversity of Texas at Austin (Cognitive Neuroscience, Ph.D. in progress)\nSharon has had experience helping students from California and Texas apply to both undergraduate and graduate programs across the U.S. Several of her students have been admitted to top programs all around the country.\n\"I believe that everyone has a unique story to share, and it is up to both the student and counselor to make sure to convey each student's story in the most compelling way. I like to invest heavily in getting to know each of my students individually so that we can work together in finding ways to best communicate the student's strengths within the limited confines of each college application.\"\nWhile Sharon was in Los Angeles, she taught SAT I and II math courses, AP and SAT Biology courses, and general courses in Biology, Geometry, Algebra I, and Algebra II. Additionally, she worked for several years as a college level tutor (general topics areas: Statistics, Biology, Physics, and Math) and a quantitative instructor (for DAT and GRE math courses) after graduating from UCLA.\n\"I believe the goal of education is to enhance long-term learning and performance. Often times, strategies that seem more difficult for learning in the short-term enhance long-term retention. I incorporate these optimal learning strategies in my teaching as much as possible, while also trying to keep the learning process relatively simple and fun.\"\nSharon really enjoys playing board games and watching the discovery channel.", "domain": "mathematics"} {"url": "https://pokerdownload.info/the-mathematics-behind-casino-games-a-deep-dive-with-superwin/", "date": "2023-10-02T23:49:37Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233511023.76/warc/CC-MAIN-20231002232712-20231003022712-00555.warc.gz", "language_score": 0.9064427018165588, "token_count": 840, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__177682466", "lang": "en", "text": "To the casual observer, casinos might seem like sanctuaries of luck and chance. However, beneath the shimmering lights and the allure of the jackpot, there’s a complex world governed by mathematics. Understanding this underlying mathematical framework is crucial, not just for the casinos but also for players. At Superwin, we believe in providing our patrons with the knowledge to make informed decisions. Let’s unravel the fascinating mathematics behind casino games.\n- Probability and Odds\nAt the heart of every casino game lies the concept of probability. In its simplest form, probability measures the likelihood of a particular outcome. For example, when rolling a fair six-sided dice, the probability of landing a 3 is 1/6. Casinos utilise these probabilities to determine the odds they offer. A deeper grasp of probabilities can aid players in making strategic decisions in games like poker or blackjack.\n- House Edge\nThe house edge is a term most gamblers have come across. It represents the percentage advantage the casino has over the players in the long run. For instance, in European roulette, the presence of a single ‘0’ gives the house a 2.7% edge. This ensures that, over a prolonged period, the casino will retain approximately 2.7% of all bets made, ensuring its profitability.\n- Return to Player (RTP)\nOften used in the context of slot machines on platforms like Superwin online, RTP denotes the percentage of total bets that a machine will pay back to players over time. An RTP of 96% implies that, for every $100 wagered, the machine will return $96 to players. The remaining 4% represents the house edge in this scenario.\n- Variance and Volatility\nWhile RTP gives a long-term view, variance or volatility sheds light on the short-term fluctuations players might experience. High variance games, like certain slot machines, offer larger payouts but less frequently, making them more unpredictable. In contrast, low variance games provide smaller, more frequent payouts.\n- Combinatorial Analysis\nParticularly pertinent to card games, combinatorial analysis examines the number of ways specific events can occur. For instance, understanding the number of possible combinations in a poker hand can give players an edge, allowing them to calculate the likelihood of their opponents holding a winning hand.\n- The Law of Large Numbers\nThis mathematical theorem states that the more times an experiment (like a dice roll or card draw) is conducted, the closer the average result will come to the expected value. In a casino context, this means that while there may be short-term deviations from the expected outcomes, over a more extended period, the results will converge towards the expected returns, reinforcing the concept of the house edge.\n- Dependency and Strategy\nCertain games, like blackjack, introduce the idea of events depending on previous outcomes. For example, if many high-value cards have been dealt already, there’s a higher probability of lower-value cards being dealt next. Recognizing these dependencies allows for strategic gameplay, where players can adjust their bets or actions based on previous results.\n- Betting Systems and Fallacies\nMany players swear by specific betting systems, like the Martingale or Paroli. While they might offer short-term success, no system can overcome the house edge in the long run. Additionally, it’s crucial to recognize fallacies, like the ‘gambler’s fallacy’—the incorrect belief that past results can influence future outcomes in independent events.\nThe world of casinos, whether physical or on platforms like Superwin Sportsbook, is deeply intertwined with mathematics. While luck plays its part, understanding the numbers offers players a clearer perspective and can enhance their gaming experience.\nAt Superwin, we’re not just about offering exciting gaming opportunities; we’re also committed to enlightening our patrons. By grasping the mathematical foundations of casino games, players can approach their favourite games with a mix of strategy, understanding, and, of course, the thrill of chance.", "domain": "mathematics"} {"url": "https://handhistorypoker.com/blog/poker-en/poker-math/", "date": "2024-04-14T13:51:07Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296816879.72/warc/CC-MAIN-20240414130604-20240414160604-00142.warc.gz", "language_score": 0.9405146241188049, "token_count": 2562, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__187299554", "lang": "en", "text": "- What is the role of math in poker?\n- What Outs are in Poker and how do we count those?\n- Using probabilities in poker math\n- Pot odds in poker math\n- Two ways of applying poker math\n- Calculating equity outside poker tables\n- Estimation of required equity at the table\n- Useful literature on poker math\n- Poker Math FAQ\n- How is mathematics useful for a poker player?\n- How to count outs correctly?\n- How to use math in poker?\nWhat are we talking about here? The mathematics of poker seems difficult to many new players. However, in fact, it is quite simple to master and thereby greatly increase your chances of winning.\nWhat should we focus on? Of course, you need to start with the basics and understand what poker mathematics, outs and probabilities are in the first place and how to calculate them. It is also very important to be able to apply this knowledge in practice.\nWhat is the role of math in poker?\nStrategy in this game is based on probabilities of certain events. Understanding the psychological characteristics and habits of your opponents is also important. This information allows us to make our mathematical predictions more accurate. Poker mathematics covers a wide range of concepts, including outs, probabilities, pot odds, equity and fold equity.\nIt is necessary to analyze the chances of winning in the current hand. Math serves as a guide for experienced players, helping them determine optimal moves. For example, it tells you whether it is worth making a call in a given situation or whether it is better to look for other, more profitable actions.\nWhat Outs are in Poker and how do we count those?\nCounting outs is the most important part of poker math. Outs are cards in the deck that can improve your current hand, turning it into a winning one. Let’s take a look at an example. Let’s say you have AK of diamonds on a board with a diamond flush draw. How many outs do you have in this situation? What cards can improve our combination?\nThere are three aces and three kings that improve us to a top pair, which could be enough to win. To achieve this, you need to draw a card that matches one of the six remaining in the deck.\nIn addition, any diamond card gives us flush, which is the best possible hand here (nuts). There are 13 diamond cards in the deck. Two of them are a part of our hand and two more are on the board. Therefore, there are still 9 diamond cards left that can improve our hand.\nYou have 15 outs total. However, when counting, it is important to take into account and exclude from the list the so-called tainted outs – cards that improve our hand, but at the same time strengthen the opponent’s hand.\nUsing probabilities in poker math\nUnderstanding outs allows you to move on to using probabilities. Once a player understands how many cards in the deck can improve his hand, he can estimate how often this should happen.\nThe following formula is used for calculations:\nProbability = number of outs / number of hole cards (in the deck and in the opponents’ hands).\nA standard poker deck contains 52 cards. Two of them are in our hand, and three more are on the table after the flop. This leaves 47 unknown cards. Let’s say we need any of two eights or four kings left in the deck. The probability of one of these hitting the turn is 6/47 or 12.76%.\nIf none of the eights or kings appear on the turn, the player still has one more chance to catch them on the river. However, it is important to remember that at this point there will be one less hole card in the deck: 6/46, or 13.04%.\nThe probability of getting the required card in one street is approximately 2%, and in two – about 4%.\nPot odds in poker math\nWhat happens when mathematicians play poker? They start calculating the pot odds. The probability of getting a desired combination is determined by comparing unsuccessful outcomes, where the player does not get an out he looks for, with successful ones.\nThis chance can be represented in a form of a ratio. For example, 3:1 means that on average out of four attempts to get the desired card, three will be unsuccessful and one will be successful. Probabilities can also be expressed as percentages. For example, a ratio of 4:1 is 20%. When converting to percentages you just add one to a number of unsuccessful outcomes. Thus, 5.5 to 1 is 15.4% (1/6.5).\nPot odds are the ratio of the amount a player puts into the pot to the total size of the pot. In other words, this is a ratio of how much a player invests to how much he can win if he gets a desired outcome. For example, pot odds of 4:1 means that if we invest $1, we will get $4.\nGenerally, pot odds are taken into account when determining whether it is profitable to call or not. If the pot odds are greater than the probability of getting the desired hand, then calling is profitable.\nTwo ways of applying poker math\nCalculating equity outside poker tables\nWhen a player is at the table, there is simply no time for complex calculations. It is better to start learning by analyzing your hand histories after the game. The more time you spend practicing away from tables, the more confident you will be at the tables.\nA decision that closes the action is one when there is no other options available after. For example, this can happen on the river when the villain goes all-in. You have only two possible options left: call or fold. One way or another, the hand is over after you pick one of the two.\nLet’s take a look at another example, this time preflop. Let’s assume one of the players decides to go all-in. You have a choice: give up and fold, or call and answer his bet.\nIt is important to note that all calculations discussed below assume that there will be no action after your decision and the pot size will remain unchanged. The following calculations are ineffective in cases where you don’t close the action.\nLet’s say we are on the river, pot is already 45 bb. Villain decides to bet his remaining 36bb and goes all-in. Hero has two possible options:\n- Call 36bb bet;\n- Fold his hand.\nThe question is how much equity do we need to have against villain’s perceived range for calling to be a smart decision?\nTo proceed with the calculation we only need two numbers. The formula takes into account the following parameters:\n- AC (amount to call) – the amount of money we have to put into pot to call villain’s all-in.\n- TP (total pot after bet) – the total pot after villain’s bet. Includes all money bet on previous streets, as well as opponent’s bet on the river.\n- RE (Required Equity) – the parameter we are trying to calculate. This is the minimum amount of equity against your opponent’s range for the call to be at least break even. If in reality the equity of our hand is greater than the calculated value (RE), then calling becomes a profitable decision in the long run (+EV).\nRE = AC / (AC + TP)\nPoker mathematics follows all the standard rules of arithmetic. Therefore, we first sum the values in parentheses and then do the division.\nAC = 36 (opponent bet on the river)\nTP = 45 + 36 = 81 (pot before river action + opponent’s bet)\nRE = 36 / (36 + 81) = 30.8%\nWhen calling, a player must win at least 30.8% of the time at the showdown for the call to be justified.\nMathematical calculation is the first step in analyzing such spots. When we have specific numbers, we can evaluate the equity of our cards relative to our opponent’s range and make an optimal decision.\nA very common mistake is when people calculate total pot as just a sum of river pot and opponent’s bet. However, you have to include our potential call as well, so it is his bet plus the size of the pot on the river plus the amount we should put in to make a call.\nEstimation of required equity at the table\nYou are unlikely to be able to make complex calculations, even if you only play couple of tables. Therefore, we need a simpler method even if it is not 100% correct in terms of calculations. It does exist and is known as “RE scale”.\nA player has to memorize four rules, which are:\n- If before the bet there’s no money in the pot, it would take 50% equity to call (e.g. preflop shove, although even then there are 1.5bb in the pot from the blinds).\n- Against a pot size bet, we need 33% equity.\n- Half pot bet – 25% equity.\n- Quarter of a pot bet – 17% equity.\nThus, we have four key points from which we can adjust. Many poker players use bets of the same size, which will simplify the task. However, even in the case of non-standard and random bets, you can approximate the equity you need from those key points.\nLet’s look at a specific example. Let’s say your opponent bets 7bb into a 30bb pot. You can quickly estimate on the go that this is slightly less than quarter of a pot (4 * 7 = 28). Therefore, you need slightly less than 17% equity to call.\nIf we make precise calculations, we get the following:\n- RE = AC / (AC + TP);\n- RE = 7/ (37 + 7). Remember that this is not (30 + 7), since TP represents the size of the pot after your opponent’s bet;\n- RE = 15.9%.\nIt turns out that our quick estimation was pretty close to the actual number.\nUseful literature on poker math\nOne of the best books for beginner poker players is “Poker Math Made Easy” by Roy Rounder. Its only 34 pages long. We would also recommend lying your sight on “The Mathematics of Poker” by David Sklansky.\nIn addition, it would also be beneficial for you to reak the following books: Alan N. Schoonmaker “Your Worst Poker Enemy”, Jared Tendler “The Mental Game of Poker”, Leszek Badurowicz “Mental Edge”, Roy Rounder “Poker Math Made Easy”, Matthew Janda “Applications of No-Limit Hold’em”, James Swinney, Adam Jones “Optimizing Ace King”, MMAsherdog “The Preflop Bible”, Peter Clarke “The Grinder’s Manual”.\nThis library would be enough to understand the basic mathematics in poker and increase your chances of success.\nPoker Math FAQ\nHow is mathematics useful for a poker player?\nMathematics in poker is used to evaluate the profitability of specific actions. Science allows us to determine the probabilities of winning in the current hand, taking into account the starting hand and the board. It also helps you make the right decisions, taking into account the bet size and the pot size.\nHow to count outs correctly?\nYou should count outs only after the flop and turn are dealt. Many people make the mistake of performing calculations with only their hand and no board.\nKnowing outs is a critical aspect of the game. The calculation helps determine the ratio and evaluate the pot odds.\nHow to use math in poker?\nMathematics is a powerful tool that should be used at the right time. Combine your math knowledge with other strategies and techniques to achieve greater success and increase your profits.\nThus, poker mathematics is a set of techniques based on mathematical principles. They help you make decisions that are more accurate. By understanding and putting it into practice, you can increase your chances of winning.", "domain": "mathematics"} {"url": "http://emmayu.com/Did-this-weight-loss-program-work/", "date": "2020-07-10T10:26:54Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-29/segments/1593655906934.51/warc/CC-MAIN-20200710082212-20200710112212-00330.warc.gz", "language_score": 0.9380860328674316, "token_count": 1714, "dump": "CC-MAIN-2020-29", "global_id": "webtext-fineweb__CC-MAIN-2020-29__0__152166776", "lang": "en", "text": "Evaluating the effectiveness of a clinical weight loss program\nIn this study, I analyze a dataset of a 12-month clinical weight loss program to find out:\nwhat factors affect the 12 month weight loss results;\nwhether an intervention was effective in increasing weight loss.\nThe dataset contains 234 participants of the weight loss study, and for each participant, we have information on his/her age, race, type of treatment, and the weight change 12 month after the treatment. All relevant biological information has been condensed into one variable called biomarker. The data has been processed to ensure privacies of the participants.\nThis project was a final project for the statistical modeling class (graduate-level) at UT Austin, Dec 2014.\nI plotted every parameter against each other to have a quick look at the relationships between different parameters. The age, race, biomarker variables are self-explanatory, and the other two variables are\n- wtch - 12 month weight loss in kg\n- treatment - 1= control, 2 or 3 = intervention\nWe can see the biomarker seems to linearly correlate with the age of the subject. The total numbers of samples are very small in race 2 and 4, and the race 3 seems to have a younger population than race 1.\nA quick look\nFirst, let’s contruct a full model with all data points and all avaliable variables as covariants.\nThis model does not fit the data very well. The R-squared value is 0.099, which means only about 10 percent of the variations in the data is explained by the model. However, the model is still significant. With a p value of 0.001, we can safely reject the null hypothesis of no relationship all all between the weightloss and all the variables. Race 3 is the most significant covariant with a p value of 5.64e-5, and age is the second most important covariance with a p value of 0.113.\nConsidering the median of the weight loss is -9.89, the residuals are very large for this model, but we don’t see any strucutre in the residual vs. fittet plot. 10 points show very large leverage. This could be a problem because these 10 points can have too big influence on our accessing the model fit. We may want to exclude those data point, lower their weights, or use a different cost function.\nAdding Interaction Terms\nTo see if including interaction terms between different variables will imporve the model fit, I construct a series of expanded models:\n|1-1||Full model with race and treatment as factor variables|\n|1-2||Same as 1-1 but without the treatment as a covariant|\n|2-1||Add dummy variables for race to include interaction terms between age and race|\n|2-2||Same as 2-1 but without the treatment as a covariant|\n|3-1||Include dummy variables for both race and treatment|\nThe BICs and R-squared of the full model and models with interaction terms are shown below. Models with interaction terms have larger BICs and smaller R-squared compared to the full model, which means they fit the data worse than the full model. So I decided not to include the interaction terms.\nAs seen in exploritory analysis, biomarker has the largest P value, and it seems to correlate with age. We did a simple linear regression model for biomarker ~ age, and found R squared to be 0.4651. This means age predicts the biomarker reasonably well, but the two are not exactly the same. However, since those two variables are not independent of each other, including biomarker will greatly inflate the variance. I decided to examine a few reduced models.\n|4-1||Reduced model without biomarker as a covariant|\n|4-2||Same as 4-1 but without the treatment as a covariant|\n|4-1c||Same as 4-1 but without the two outliers|\n|5-1||Reduced model with only age and treatement as covariants|\n|5-2||Reduced model with only age as the covariant|\nWe can see models without race doe not fit the data well (5-1 and 5-2, with larger BIC and much smaller R- squared compared to other models). On the other hand, excluding the two outliers can significantly improve our model fit (with BIC 27 smaller than the model including the outliers). So we pick model 4-1 c, the reduced model without biomarker as a covariant and without the two outliers for our analysis.\nJudging from the expectaion and standard error, we are 68 percent confident that the treatment increases weightloss (a smaller wtch value). Treatment 3 has slightly larger effect than Treatment 2, with a expect (1.722 - 1.348 = 0.374) increase in weightloss.\nWe added dummy variables for the factor variable race and treatment, and constructed a series of models in JAGS. The general form of the model is: wtch ~ N(mu, tau) mu ~ BX\nSince we don’t have any prior knowlege associate with the weightloss, we simply choose diffuse normal priors for all the betas in all of our models. We use a diffuse gamma prior for all the taus.\nThe covariances and DIC for each model is shown in the table below. We are using penalized deviance from dic.samples as our measurement.\n|1||age + bio + race + treat||1616|\n|2||age + race + treat||1614|\n|3||age + race3 only + treat||1613|\n|4||age + treat||1635|\n|5||age + race||1619|\nIn model 1, the 95% interval of all the covariance includes zero, therefore we can’t constrain the importance of parameters with great confidence. In model 2, we are 95% confident that the age is a significant factor. Since we have very few samples in race 2 and 4, we decided to try only including race 3 as a covariance. As expected, excluding biomarker imporves the variance in the model parameters. In model 3, both age and race 3 are proved to be significant at 95% confident level. We tried models with no treatment, with no race as covariants, and the model only with age as the covariants. All of them have larger DIC then model 3, and they do not provide any further insight of the data. Therefore we chose model 3 for our inference.\nWe should note that in the frequentist approach, we included all the races in the model. However, in the Bayesian approach, we only include one dummy variable for race 3. Since we eliminated two variables that are closely dependent on existing variables (race 2, 3, and 4 are not independent of each other), the model significance is improved.\nAfter a few experiments, we decided to thin the data by 100 to improve the mixing. We run 2 chains with 100000 sample each, so we have 2000 samples after thinning. The thinning does not change the modeled coefficients very much. The output parameters of model 3 are (in the order of ‘Inter’, ‘race3’, ‘age’, ‘treat2’, ‘treat3’):\nJudging from the coefficients, we are 68% confident that treatment 3 can increase weightloss (with am expected value of -1.69). Treatment 2 is likely to increase the weightloss, but we can’t say it with 68% confidence. On the other hand, race 3 have significantly larger weighloss compared to other races, and the weighloss decreases as age increases. 10 years of increase in age leads to a decrease of 2.2 in weightloss.\nSamples for betas and the PDFs of betas are shown below. We can see the mixing is generally well, and we have tighter constrain on treat 2, and treat 3 compared to other variables.", "domain": "mathematics"} {"url": "http://drawntomath.tumblr.com/", "date": "2013-05-25T08:10:57Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2013-20/segments/1368705749262/warc/CC-MAIN-20130516120229-00002-ip-10-60-113-184.ec2.internal.warc.gz", "language_score": 0.9639971852302551, "token_count": 167, "dump": "CC-MAIN-2013-20", "global_id": "webtext-fineweb__CC-MAIN-2013-20__0__42263596", "lang": "en", "text": "Hello young pupils. I am Prof. Bastion Misawa, a card game mathematician specialized in the area of quantum duel mechanics. After finishing my master's degree in Dueling Math, I decided to teach Advanced Math to encourage new bright minds into considering my often forgotten sub-specialty as a future career option, as well as promote the love for mathematics in general.\nI am always available if my students or colleagues have any problem they believe I could help out in, specially if its solution could lead to a new mathematical breakthrough! Feel free to send me a message if you do, and we could discuss this over a cup of tea or coffee at my office. If you're also a duelist and would like to test your skills against one of my decks, I'd be pleased to duel you sometime after class has ended.", "domain": "mathematics"} {"url": "https://www.mystrollers.com/bigjigs-toys-number-tower.html", "date": "2021-09-19T16:42:29Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-39/segments/1631780056892.13/warc/CC-MAIN-20210919160038-20210919190038-00293.warc.gz", "language_score": 0.9402058720588684, "token_count": 96, "dump": "CC-MAIN-2021-39", "global_id": "webtext-fineweb__CC-MAIN-2021-39__0__16618704", "lang": "en", "text": "This toy provides a thrilling way to learn about numbers whilst building a brightly coloured wooden tower. Children can practise both number recognition and counting as they fit each wooden piece next to its individually-shaped numerical neighbour. Made from high quality, responsibly sourced materials. Conforms to current European safety standards. Age 1+ years. Height: 285mm, Width: 90mm, Depth: 90mm. Consists of 11 play pieces.\nThere are no reviews written yet about this product..", "domain": "mathematics"} {"url": "https://www.olgageyyer.art/group/olenkaarts-group/discussion/5c651b3f-192c-4c12-aa25-8a873a156b0f", "date": "2023-11-30T10:13:56Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100184.3/warc/CC-MAIN-20231130094531-20231130124531-00716.warc.gz", "language_score": 0.9462063312530518, "token_count": 2347, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__136725461", "lang": "en", "text": "Vector And Tensor Analysis By Dr Nawazish Ali Pdf EXCLUSIVE Download 12\nVector and Tensor Analysis by Dr Nawazish Ali PDF Download 12\nIf you are looking for a comprehensive and accessible introduction to vector and tensor analysis, you might want to check out the PDF book by Dr Nawazish Ali, a professor and former chairman of the Department of Mathematics at the University of Engineering and Technology, Lahore. In this book, you will learn the basic concepts, definitions, properties, and applications of vectors and tensors in mathematics, physics, and engineering.\nvector and tensor analysis by dr nawazish ali pdf download 12\nWhat is Vector and Tensor Analysis?\nVector and tensor analysis is a branch of mathematics that deals with quantities that have both magnitude and direction, such as force, velocity, acceleration, etc. Vectors are one-dimensional arrays of numbers that represent these quantities, while tensors are multi-dimensional arrays of numbers that generalize vectors to higher dimensions. For example, a scalar is a zero-dimensional tensor, a vector is a one-dimensional tensor, and a matrix is a two-dimensional tensor.\nVector and tensor analysis is useful for studying various phenomena in science and engineering, such as mechanics, electromagnetism, fluid dynamics, relativity, etc. It allows us to express physical laws in a concise and invariant form, independent of the choice of coordinate system. It also helps us to perform calculations and transformations more easily and efficiently.\nWhat are the Contents of the Book?\nThe book by Dr Nawazish Ali covers the following topics:\nChapter 1: Algebra of Vectors - This chapter introduces the geometric and analytic representation of vectors, the dot product, the cross product, the scalar triple product, the vector triple product, and the linear dependence and independence of vectors.\nChapter 2: Geometry of Vectors - This chapter applies vector algebra to geometry problems, such as finding the equation of a line or a plane, the distance between points, lines, and planes, and the angle between lines and planes.\nChapter 3: Differentiation of Vectors - This chapter defines the derivative of a vector function, the gradient of a scalar function, the divergence of a vector function, and the curl of a vector function. It also discusses some applications of these operators in physics.\nChapter 4: Integration of Vectors - This chapter introduces the concepts of line integral, surface integral, and volume integral of vector functions. It also explains some important theorems in vector calculus, such as Green's theorem, Stokes' theorem, and Gauss' divergence theorem.\nChapter 5: Curvilinear Coordinates - This chapter introduces some common curvilinear coordinate systems, such as cylindrical coordinates, spherical coordinates, polar coordinates, etc. It also shows how to express vectors and tensors in these coordinate systems.\nChapter 6: Tensor Analysis - This chapter defines tensors as generalizations of scalars and vectors. It also explains how to perform operations on tensors, such as addition, multiplication, contraction, etc. It also introduces some special types of tensors, such as symmetric tensors, antisymmetric tensors, metric tensors, etc.\nChapter 7: Applications of Tensor Analysis - This chapter applies tensor analysis to some topics in physics and engineering, such as mechanics of deformable bodies, elasticity theory, fluid mechanics, electromagnetism theory, relativity theory, etc.\nHow to Download the PDF Book?\nIf you are interested in downloading the PDF book by Dr Nawazish Ali for free,click here. You will need to create an account on Scribd or log in with your Facebook or Google account. You can also read the book online or download it to your device for offline reading.\nThe PDF book has 744 pages and is suitable for advanced undergraduate or graduate students in mathematics,\nand engineering. It has clear explanations,\nand solutions. It is also well-organized,\nVector and tensor analysis is an important branch of mathematics that has many applications in science and engineering. If you want to learn this subject in depth,\nyou should consider reading the PDF book by Dr Nawazish Ali,\na renowned professor and author. You can download it for free from Scribd or read it online at your convenience.\nWhy Should You Read This Book?\nThere are many reasons why you should read this book by Dr Nawazish Ali if you want to learn vector and tensor analysis. Here are some of them:\nThe book is written by an experienced and qualified author who has a PhD in mathematics from the UK and has taught this subject for many years at the university level.\nThe book is comprehensive and covers all the topics that you need to know about vector and tensor analysis, from the basics to the advanced applications.\nThe book is clear and easy to understand, with plenty of examples, exercises, and solutions to help you grasp the concepts and practice your skills.\nThe book is up-to-date and reflects the latest developments and research in this field.\nThe book is suitable for students and professionals who want to use vector and tensor analysis in their studies or work.\nWhat are the Benefits of Vector and Tensor Analysis?\nVector and tensor analysis is not only a fascinating subject to learn, but also a powerful tool to use in various domains. Here are some of the benefits of vector and tensor analysis:\nVector and tensor analysis helps you to simplify complex problems and express them in a concise and elegant way.\nVector and tensor analysis helps you to perform calculations and transformations more efficiently and accurately.\nVector and tensor analysis helps you to understand the physical phenomena and laws that govern our world and universe.\nVector and tensor analysis helps you to develop your logical thinking, analytical skills, and creativity.\nVector and tensor analysis helps you to enhance your knowledge and career prospects in mathematics, physics, engineering, and other related fields.\nHow to Use This Book?\nThis book by Dr Nawazish Ali is designed to be used as a textbook for a course on vector and tensor analysis, or as a reference book for self-study. It assumes that you have some background in calculus, linear algebra, and differential equations. However, it also reviews some of the necessary concepts and techniques in the appendices.\nThe book is divided into seven chapters, each with a clear outline, objectives, summary, and exercises. You can follow the order of the chapters as they are presented, or you can skip or rearrange them according to your needs and preferences. You can also use the index and the table of contents to find the topics that interest you.\nThe book is written in a simple and straightforward language, with plenty of examples and illustrations to help you understand the concepts and methods. It also provides hints and solutions to some of the exercises at the end of each chapter. You can use these exercises to test your knowledge and skills, or to explore further applications and extensions of vector and tensor analysis.\nWhat are the Reviews of This Book?\nThis book by Dr Nawazish Ali has received positive feedback from many readers and reviewers who have used it for learning or teaching vector and tensor analysis. Here are some of the reviews that you can find online:\n\"This is one of the best books on vector and tensor analysis that I have ever read. It covers all the topics that I need for my studies in physics and engineering. It is clear, concise, comprehensive, and well-organized. It has many examples and exercises that help me practice and apply what I learn. I highly recommend this book to anyone who wants to learn vector and tensor analysis.\" - A student from Amazon.com\n\"I have been using this book as a textbook for my course on vector and tensor analysis for several years. It is an excellent book that covers all the essential topics in a logical and systematic way. It is also very easy to read and follow, with clear explanations and diagrams. It has many exercises that challenge and motivate my students. It is a great book for both beginners and advanced learners of vector and tensor analysis.\" - A professor from Goodreads.com\n\"This book is a masterpiece of vector and tensor analysis. It is written by a renowned mathematician who has a deep understanding and insight into this subject. It is not only a textbook, but also a reference book that contains many useful results and formulas. It is also very well-written, with a smooth flow and a friendly tone. It is a pleasure to read this book and learn from it.\" - A reviewer from Scribd.com\nWhere to Buy This Book?\nIf you want to buy a hard copy of this book by Dr Nawazish Ali, you can order it online from A-One Publisher, the official publisher of this book. You can visit their website at www.aonepublishers.com and fill out the order form with your details and payment method. You can also contact them by phone at 37232276, 37357177, or 37224655, or by email at firstname.lastname@example.org. They will deliver the book to your address within a few days.\nIf you want to buy an electronic copy of this book by Dr Nawazish Ali, you can download it from Scribd, the world's largest digital library. You can visit their website at www.scribd.com and search for the title of the book. You will need to create an account on Scribd or log in with your Facebook or Google account. You can also read the book online or download it to your device for offline reading.\nHow to Cite This Book?\nIf you want to cite this book by Dr Nawazish Ali in your academic or professional work, you can use the following format:\nFor APA style: Shah, N. A. (2003). Vector and tensor analysis for scientists and engineers. Lahore: A-One Publisher.\nFor MLA style: Shah, Nawazish Ali. Vector and Tensor Analysis for Scientists and Engineers. A-One Publisher, 2003.\nFor Chicago style: Shah, Nawazish Ali. Vector and Tensor Analysis for Scientists and Engineers. Lahore: A-One Publisher, 2003.\nVector and tensor analysis is an important and useful branch of mathematics that has many applications in science and engineering. It helps us to understand and solve complex problems in a simple and elegant way. It also helps us to develop our logical thinking, analytical skills, and creativity.\nIf you want to learn vector and tensor analysis in depth, you should read the book by Dr Nawazish Ali, a renowned professor and author who has a PhD in mathematics from the UK. His book is comprehensive, clear, easy to understand, and well-organized. It covers all the topics that you need to know about vector and tensor analysis, from the basics to the advanced applications. It also has many examples, exercises, and solutions to help you practice and apply what you learn.\nYou can buy this book online from A-One Publisher or download it from Scribd. You can also cite this book in your academic or professional work using the appropriate format. This book is a valuable resource for anyone who wants to learn vector and tensor analysis. 6c859133af", "domain": "mathematics"} {"url": "http://shimazaki.arch.kanagawa-u.ac.jp/shimazaki/wcee/wcee.html", "date": "2023-01-29T12:09:33Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-06/segments/1674764499713.50/warc/CC-MAIN-20230129112153-20230129142153-00396.warc.gz", "language_score": 0.9280703067779541, "token_count": 1885, "dump": "CC-MAIN-2023-06", "global_id": "webtext-fineweb__CC-MAIN-2023-06__0__292055224", "lang": "en", "text": "For high rise buildings, if the stiffness distribution is unsuitable, whipping phenomenon can occur at the top, and the upper part will be subject to extreme shaking. On account of this, the section of the upper part is limited not from required strength considerations but by appropriate stiffness distribution. In the case of structural planning of a pure frame building, if the story and span numbers are fixed, column / beam sections of lower stories can be established by long term axial force limitation and base shear coefficient. Then the shear stiffness for lower stories is decided. After establishing a suitable shear stiffness distribution, dimensions of members can be decided.\nThis paper describes the examination of shear and bending deformation for reinforced concrete frame buildings, and the appropriate stiffness distribution to avoid whipping phenomenon. Finally, the method of deciding the member section is shown.\nThe bending stiffness EI of a frame building of height H and span m (building width B = ml) as shown in figure 1, is given by equation (1), in which the column section is square and section area is Ac.\nThe story shear stiffness GA is given by equation (2) by the Muto's D method when the story height is h and stiffness coefficients obtained from stiffness ratio of columns to beams are all \"a\".\nWith a model of the bending-shear system fixed at base with height H\n, constant bending stiffness EI and shear stiffness GA, the bending deformation and the shear deformation at the top are obtained by equation (3) where x is the distance from base.\nThe deformation at the top (x = H) is given by equation (4).\nEI and GA obtained from equations (1) and (2) are substituted into this expression. When the stiffness ratio of column / beam is equal, the coefficient \"a\" becomes 0.5. Usually it comes within the range 0.2-0.4 because beam span is longer than height and the section of a column is greater than the section of a beam for a building designed by the beam yielding method. is known as the column ratio and it is about 0.03 when the first floor column is a 95~95 cm section, and the supported area is 5.5~5.5 m. The ratio of deformation of bending and shear deformation at the top is given by equation (5).\nOn the other hand, for the bending-shear model in which shear stiffness GA varies linearly to zero toward the top, it is given by the following equation.\nat the top,\nIt becomes double that of the model with uniform shear stiffness. The ratio of bending and shear deformation is given by equation (8).\nThe ratio is between equation (5) and (8) for a real building, and would be 0.02(n/m)^2 . The bending deformation is equal to the shear deformation at the top for a 7 span 50 story building, or a 6 span 40 story building. For a building having higher aspect ratio than these, bending deformation is larger than shear deformation.\nFrom equation (1), bending stiffness is proportional to column cross-sectional area, and shear stiffness is in proportional to the square of column cross-sectional area according to equation (2). Therefore, bending stiffness reduction is proportional to the square root of shear stiffness reduction by decreasing cross-sectional area of the column. The effect of stiffness distribution on eigen mode was examined using this relation in the study.\nThese eigen modes and story drift modes are shown in figure 2. For the first mode, the story drift is large at the lower part when the bending deformation rate is small, and is greatest at the top part when there is considerable bending deformation. The greater the rate of bending deformation, the larger the story drift in the higher part.\nWhen there are few bending deformation, the change of eigen mode with stiffness reduction is considerable. The shape becomes susceptible to whip with stiffness reduction. The change in eigen mode with stiffness reduction with a large bending deformation rate is small. If shear stiffness at the top is more than 0.5 times that at the base and the bending deformation is smaller than the shear deformation at the top, the first mode shape of story drift never become large at the upper part. When the bending deformation is larger than the shear deformation at the top, the story drift is large in the upper part even for the uniform system. The tendency increases with decreasing the shear stiffness.\nFor the case where the shear stiffness decreases to 0.2 at the top, the story drift mode becomes considerable at the upper part, and will lead to whipping phenomenon by a combination with response spectrum. To avoid whipping phenomenon, the shear stiffness at the top must be more than 30% to 50 % larger than that at the base. This shows that the column cross-sectional area at the top needs to be SQ(0.5)ą0.7 times that at the top, and column dimensions needs to be SQ(0.7)ą0.85 times those at the base when the top shear stiffness is larger than 50% of the bottom stiffness.\nIn reinforced concrete column members, limit deformation and relation of axial force ratio are suggested from meaning of ductility considerations (Inai et al., 1997). The following equation is given for a column with constant axial force.\nHere,Å is the axial force ratio for core cross-sectional area and R is the drift limitation. When the drift limitation is taken to be 1/50, the axial force ratio becomes 0.36. Because core cross-sectional area is assumed to be 0.75 times that of the total section in the literature, it becomes around 0.27 at the axial force ratio limitation for total sections.\nAs the horizontal load is equivalent to weight of 4 story (Shimazaki et al., 1994), regardless of building height, column section is fixed only by the axial force limit for high rise buildings. Based on the assumption of a 0.25Fc axial force limit, 0.03 column rate and 1.1tonf/m^2 unit weight of floor, concrete strength required becomes Fc=15n (kgf/cm^2) for an n story building.\nFirst, the sections of the lower story are set. Column sections are established from the long term axial force limit of 0.25Fc. Beam moment is calculated from base shear required, and section / reinforcing arrangement of the beam is established. Column strength at the base is made double the beam strength for yielding column at the base after beam yielding. If reinforcing bar can not be arranged in the column section, the section is changed. The calculation procedure and the section calculated are shown in table 1.\nNext, section setting for each story is performed as follows:\nComparison with the estimated reinforcing arrangement of the lower story shown in table 1, the reinforcing arrangement amount becomes large for the 25 story building, because the first period is short and weight increases. For the 60 story building, because the section is less than that of general structures due to the use of high strength materials, and the period is longer than the abbreviated expression, the required shear force becomes small, and the reinforcing arrangement also becomes small.\nThe eigen periods agree well. There is almost no difference in both total eigen mode and drift mode. It can therefore be said that the eigen period and eigen mode shape obtained by this abbreviated algorithm have sufficient precision.\nCalculated results are shown in figure 7. The response values by frame analysis are less than the estimated values and the distribution of drift for every ground motion is similar. Thus it can be said that if the section for a building is set by the proposed method, the building has the earthquake resistance intended by a design method such as drift limitation.\nShimazaki, K. (1992). Seismic coefficient distribution of high-rise reinforced concrete buildings. Proc. 10th WCEE, 4281-4286, Madrid, Spain\nInai, E. and H. Hiraishi (1997). Structural design charts and equations of deformation capacity of reinforced concrete columns after flexural yielding. Proc. 11th WCEE (will be published), Mexico\nShimazaki, K. and A. Wada (1994). Design base shear coefficients for high-rise reinforced concrete buildings. Journal of structural and construction engineering, AIJ, No. 458, 99-108, Tokyo, Japan", "domain": "mathematics"} {"url": "https://cel.csusb.edu/pace/courses-programs/education/teaching-elementary-math-conceptually", "date": "2020-01-28T09:57:19Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-05/segments/1579251778168.77/warc/CC-MAIN-20200128091916-20200128121916-00300.warc.gz", "language_score": 0.9362378120422363, "token_count": 277, "dump": "CC-MAIN-2020-05", "global_id": "webtext-fineweb__CC-MAIN-2020-05__0__102674406", "lang": "en", "text": "The College of Extended Learning is proud to partner with Virtual Education Software (VESi), a leading provider of accredited online courses for educators. These online professional development courses are written by top educators and provide relevant and interactive instruction on a wide variety of subjects.\nOnline courses work with your schedule, allowing you to participate when it is convenient for you. Each course instructor is available for professional questions by e-mail or a toll-free phone number. The courses are offered for either three- or four-quarter units of continuing education-level credit. Most students can complete three-unit courses in about 30 hours and four-unit courses in about 40 hours. You may register for these courses at any time during a quarter.\nVESi courses are now tablet compatible, making it easy for you to recertify anytime, anywhere with reliable, stable online access.\nEDUC 3430. This course is designed to explain and connect the major concepts, procedures and reasoning processes of mathematics. Current research and trends in math education will be discussed to outline a teaching methodology that is conceptual, contextual and constructive. Activities are presented to explain underlying concepts and illustrate constructive teaching. The course has been divided into four chapters, each covering a math topic: number sense, addition and subtraction, multiplication and division and fractions. Emphasis is placed on exploring how to develop mathematical understanding in learners.", "domain": "mathematics"} {"url": "https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=2134703", "date": "2022-05-21T16:54:47Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-21/segments/1652662539131.21/warc/CC-MAIN-20220521143241-20220521173241-00045.warc.gz", "language_score": 0.7380149364471436, "token_count": 104, "dump": "CC-MAIN-2022-21", "global_id": "webtext-fineweb__CC-MAIN-2022-21__0__150743262", "lang": "en", "text": "The Normalizing Transformation of the Implied Volatility Smile\n10 Pages Posted: 23 Aug 2012\nDate Written: October 2012\nWe study specific nonlinear transformations of the Black–Scholes implied volatility to show remarkable properties of the volatility surface. No arbitrage bounds on the implied volatility skew are given. Pricing formulas for European payoffs are given in terms of the implied volatility smile.\nKeywords: implied volatility, no arbitrage bounds, variance swap, gamma swap\nSuggested Citation: Suggested Citation", "domain": "mathematics"} {"url": "https://maxdoubt.wordpress.com/2014/01/14/james-clerk-maxwell-1831-1879-scotland-a-modern-pioneer-in-science-and-faith/", "date": "2018-07-19T21:22:15Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-30/segments/1531676591296.46/warc/CC-MAIN-20180719203515-20180719223515-00049.warc.gz", "language_score": 0.9587028622627258, "token_count": 538, "dump": "CC-MAIN-2018-30", "global_id": "webtext-fineweb__CC-MAIN-2018-30__0__209973068", "lang": "en", "text": "James Clerk Maxwell 1831-1879 Scotland\nwas a Scottish mathematical physicist. His most prominent achievement was to formulate a set of equations that describe electricity, magnetism, and optics as manifestations of the same phenomenon, namely the electromagnetic field. Maxwell’s achievements concerning electromagnetism have been called the \"second great unification in physics\", after the first one realised by Isaac Newton.\nWith the publication of A Dynamical Theory of the Electromagnetic Field in 1865, Maxwell demonstrated that electric and magnetic fields travel through space as waves moving at the speed of light. Maxwell proposed that light is in fact undulations in the same medium that is the cause of electric and magnetic phenomena. The unification of light and electrical phenomena led to the prediction of the existence of radio waves.\nMaxwell helped develop the Maxwell–Boltzmann distribution, which is a statistical means of describing aspects of the kinetic theory of gases. He is also known for presenting the first durable colour photograph in 1861 and for his foundational work on analysing the rigidity of rod-and-joint frameworks (trusses) like those in many bridges.\nHis discoveries helped usher in the era of modern physics, laying the foundation for such fields as special relativity and quantum mechanics. Many physicists regard Maxwell as the 19th-century scientist having the greatest influence on 20th-century physics, and his contributions to the science are considered by many to be of the same magnitude as those of Isaac Newton and Albert Einstein. In the millennium poll—a survey of the 100 most prominent physicists—Maxwell was voted the third greatest physicist of all time, behind only Newton and Einstein. On the centenary of Maxwell’s birthday, Einstein himself described Maxwell’s work as the \"most profound and the most fruitful that physics has experienced since the time of Newton.\"\nMaxwell was an evangelical Presbyterian, and in his later years became an Elder of the Church of Scotland. Maxwell’s religious beliefs and related activities have been the focus of a number of papers. Attending both Church of Scotland (his father’s denomination) and Episcopalian (his mother’s denomination) services as a child, Maxwell later underwent an evangelical conversion in April 1853, which committed him to an antipositivist position. It needs to be said that this was theological evangelicalism, famous for opposing slavery and reforming prisons, not today’s highly conservative group known by that name.\nAll the mathematical sciences are founded on relations between physical laws and laws of numbers, so that the aim of exact science is to reduce the problems of nature to the determination of quantities by operations with numbers.", "domain": "mathematics"} {"url": "https://blog.yuantops.com/tech/understanding-xor/", "date": "2021-09-24T09:23:49Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-39/segments/1631780057508.83/warc/CC-MAIN-20210924080328-20210924110328-00141.warc.gz", "language_score": 0.9622868299484253, "token_count": 292, "dump": "CC-MAIN-2021-39", "global_id": "webtext-fineweb__CC-MAIN-2021-39__0__170470721", "lang": "en", "text": "We can interpret the action of XOR in a number of different ways, and this helps to shed light on its properties. The most obvious way to interpret it is as its name suggests, ‘exclusive OR’: A ⊕ B is true if and only if precisely one of A and B is true. Another way to think of it is as identifying difference in a pair of bytes: A ⊕ B = ‘the bits where they differ’. This interpretation makes it obvious that A ⊕ A = 0 (byte A does not differ from itself in any bit) and A ⊕ 0 = A (byte A differs from 0 precisely in the bit positions that equal 1) and is also useful when thinking about toggling and encryption later on.\nThe last, and most powerful, interpretation of XOR is in terms of parity, i.e. whether something is odd or even. For any n bits, A1 ⊕ A2 ⊕ … ⊕ An = 1 if and only if the number of 1s is odd. This can be proved quite easily by induction and use of associativity. It is the crucial observation that leads to many of the properties that follow, including error detection, data protection and adding.\nEssentially the combined value x ^ y ‘remembers’ both states, and one state is the key to getting at the other.", "domain": "mathematics"} {"url": "https://www.hwcdsb.ca/200591--Canadian-Math-Kangaroo-Contest", "date": "2018-06-19T14:16:14Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-26/segments/1529267863043.35/warc/CC-MAIN-20180619134548-20180619154548-00038.warc.gz", "language_score": 0.8816403746604919, "token_count": 105, "dump": "CC-MAIN-2018-26", "global_id": "webtext-fineweb__CC-MAIN-2018-26__0__2911910", "lang": "en", "text": ": Mar 26, 2017\nArcelor Mittal Dofasco presents the Canadian Math Kangaroo Contest\nSunday, March 26th, 2017 - 11:00am - 12:00pm at the F.H. Sherman Recreation and Learning Centre\nParticipate in this nation-wide math contest for students in Grades 1-12. Challenge yourself and compete with others in your grade.\nFor more information visit http://www.mathkangaroocanada.com\nRegistration opens January 2nd!", "domain": "mathematics"} {"url": "https://dear-woman.com/5372-the-future-of-math-tutoring-for-homeschooling-families-32/", "date": "2023-06-01T03:18:34Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224647525.11/warc/CC-MAIN-20230601010402-20230601040402-00218.warc.gz", "language_score": 0.9443137049674988, "token_count": 726, "dump": "CC-MAIN-2023-23", "global_id": "webtext-fineweb__CC-MAIN-2023-23__0__131135059", "lang": "en", "text": "The Rise of Homeschooling and Math Tutoring\nIn recent years, homeschooling has become an increasingly popular educational choice for families across America. According to the National Home Education Research Institute, homeschooling in the United States has been growing at an average rate of 2 to 8 percent per year, with an estimated 2.5 million students currently being homeschooled. With the benefits of individualized attention, flexible schedules, and personalized curriculum, many homeschooling families seek additional support in the form of math tutoring.\nIn addition, math has long been considered one of the more challenging subjects to teach, particularly for parents who do not have a strong math background. For this reason, many families turn to dedicated math tutors for assistance. To keep growing your understanding of the topic, don’t miss out on the carefully selected external resource we’ve prepared to complement your reading. ACT/SAT Test Preparation!\nThe Role of Technology in Math Tutoring\nTechnology has played an increasingly important role in education over the past decade, and math tutoring for homeschooling families is no exception. Online tutoring platforms such as Khan Academy, Mathnasium, and Chegg offer personalized, one-on-one math instruction to students of all ages and abilities, allowing families to access quality tutoring Learn from this informative document the comfort of their own homes.\nAnother advantage of online math tutoring is the ability to record and review tutoring sessions. With online platforms, families can easily revisit lessons and concepts covered during previous sessions, enabling students to reinforce their understanding of key math concepts.\nThe Need for Personalization and Attention to Individual Needs\nDespite the growing popularity of online math tutoring, there is still a need for personalized attention and instruction tailored to the individual needs of each student. Many students benefit from the one-on-one attention of a dedicated math tutor, particularly those who struggle with math concepts or who have unique learning styles.\nThis is especially true for homeschooling families, who rely heavily on personalized attention to ensure that their children are receiving an appropriate education that meets their individual needs and goals. While online platforms can provide quality instruction, they may not be able to offer the same level of personalization as a dedicated math tutor.\nThe Future of Math Tutoring for Homeschooling Families\nLooking forward, it seems likely that math tutoring for homeschooling families will continue to grow and evolve as technology advances and the number of homeschooling families increases. While online platforms will likely play an increasingly important role in math tutoring, there will still be a need for personalized, one-on-one instruction that can be tailored to the unique needs of each student.\nIt is also likely that math tutoring for homeschooling families will continue to emphasize the importance of individualized attention and flexible scheduling. Homeschooling families value the ability to personalize their educational choices and schedules, and math tutoring will likely continue to adapt to meet these needs.\nMath tutoring for homeschooling families has become an increasingly important educational choice for families seeking personalized attention and support in math instruction. While online platforms offer numerous advantages, there is still a need for dedicated math tutors who can provide personalized, one-on-one attention tailored to the needs and goals of each student. As technology continues to advance, it seems likely that math tutoring will continue to evolve and adapt to meet the changing needs of homeschooling families. Immerse yourself in the subject with this external content we suggest. ACT/SAT Test Preparation!", "domain": "mathematics"} {"url": "https://rightstartgo.com/what-is-the-best-way-for-calculating-interest-on-fixed-deposit-investment.html", "date": "2023-12-06T04:56:29Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100583.13/warc/CC-MAIN-20231206031946-20231206061946-00058.warc.gz", "language_score": 0.9472439289093018, "token_count": 653, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__50052170", "lang": "en", "text": "A fixed deposit (FD) is one of the simplest and hence one of the most popular forms of investment. Its popularity arises from the fact that it is a safe and secure investment with few of the risks associated with other investments such as stocks or real estate, and the fact that it gives higher returns as compared to regular deposits. Thus rather than having your money lying around in your savings account, it is always a better idea to invest it in a fixed deposit scheme where it can earn higher interest. The exact interest on a fixed deposit scheme varies from bank to bank. It also depends on the duration of your deposit – the longer the duration, the higher the interest rate is likely to be. Before you invest, however, is important to know what your returns are going to be. You do this either manually using a pen and paper or you can use an FD calculator such as this one provided by Finserv MARKETS.\nHow to Calculate Interest on Fixed Deposit Investment?\nYou can calculate the interest on your FD in two ways:\n- Using Pen and Paper – When calculating the interest rate on FD yourself using pen and paper it is important to understand that there are two kinds of interest rates applicable to FDs:\nSimple Interest – This is applicable to FDs with a tenure of up to 6 months. The formula for calculating simple interest is:\nInterest = Principal x Rate of Interest x Tenure of FD/ 100\nCompound Interest – This is usually applicable to FDs with a tenure longer than 6 months. Even in this case, there are two kinds of possibilities depending on the type of payout you want :\n- Monthly Payout – You take your interest payments at the end of each month. The interest rate in this case is usually calculated at discounted rates.\n- Payout at Maturity –You take your payout at the end of the term period of your FD.\nIn case you opt for the second option, you can utilize the power of compounding as compound interest is applicable in this case. The formula for calculating compound interest is slightly more complicated.\nMaturity Amount = Principal (1+rate of interest/n) ^ (n * Tenure)\nWhere n = number of times the amount is compounded in a year.\n- Using FD Interest Calculator – As you can see, calculating FD interest using pen and paper can get complicated. Therefore, it is more convenient to use an FD calculator that gives you more accurate results. You can use this simple FD rate calculator by Finserv MARKETS. All you need to enter in the calculator are the deposit amount, the tenure of the FD, and the interest rate. The FD calculator will do the rest. If you do not know the prevailing FD interest rate, you can check the best rates from Finserv MARKETS to enter in the FD interest calculator.\nIn a Nutshell\nFDs are a safe and convenient vehicle for investing your savings. However, the rate of interest and the duration for which you are investing make a big difference. It is advisable to calculate the maturity amount you can expect at maturity beforehand. The most convenient way of doing this is using an online FD interest calculator that gives you fast and accurate results.", "domain": "mathematics"} {"url": "http://reforef.ru/outozuc/%D0%9E%D1%86%D0%B5%D0%BD%D0%BA%D0%B0+%D0%BF%D0%B0%D1%80%D0%B0%D0%BC%D0%B5%D1%82%D1%80%D0%BE%D0%B2+%D0%BE%D0%B1%D1%8B%D0%BA%D0%BD%D0%BE%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D1%85+%D0%B4%D0%B8%D1%84%D1%84%D0%B5%D1%80%D0%B5%D0%BD%D1%86%D0%B8%D0%B0%D0%BB%D1%8C%D0%BD%D1%8B%D1%85+%D1%83%D1%80%D0%B0%D0%B2%D0%BD%D0%B5%D0%BD%D0%B8%D0%B9+%D1%81+%D0%B7%D0%B0%D0%BF%D0%B0%D0%B7%D0%B4%D1%8B%D0%B2%D0%B0%D1%8E%D1%89%D0%B8%D0%BC%D0%B8+%D0%B0%D1%80%D0%B3%D1%83%D0%BC%D0%B5%D0%BD%D1%82%D0%B0%D0%BC%D0%B8c/main.html", "date": "2020-09-26T01:15:01Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-40/segments/1600400232211.54/warc/CC-MAIN-20200926004805-20200926034805-00541.warc.gz", "language_score": 0.7130023837089539, "token_count": 166, "dump": "CC-MAIN-2020-40", "global_id": "webtext-fineweb__CC-MAIN-2020-40__0__280906990", "lang": "en", "text": "Subject: Parameter estimation of ordinary delay differential equations\nContains: 73 pages, 11 tables, 33 figures, 90 formulae, 13 references\nThe goal of this paper is to develop and implement fast and robust algorithm for parameter estimation of ordinary delay differential equations.\nBased on the modern numerical methods the parameter estimation algorithm is proposed and its implementation is done in the MATLAB language.\nParameters of one demographical model are estimated.\nThe topicality of the paper – lack of theoretical basis and ready solutions for such problems.\nKeywords: PARAMETER ESTIMATION, ORDINARY DELAY DIFFERENTIAL QUEATIONS, SPARSE SYSTEMS, LEAST SQUARES, NUMERIC INTEGRATION, CYCLIC REDUCTION, SQP, MATLAB", "domain": "mathematics"} {"url": "https://nugeryvymuh.gtbabowling.com/computing-methods-in-applied-sciences-and-engineering-book-29877pz.php", "date": "2022-01-22T12:41:17Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-05/segments/1642320303845.33/warc/CC-MAIN-20220122103819-20220122133819-00640.warc.gz", "language_score": 0.8612802028656006, "token_count": 2530, "dump": "CC-MAIN-2022-05", "global_id": "webtext-fineweb__CC-MAIN-2022-05__0__25847737", "lang": "en", "text": "3 edition of Computing methods in applied sciences and engineering found in the catalog.\n|Statement||Second International Symposium, December 15-19, 1975 / [organized by] IRIA LABORIA, Institut de recherche d\"informatique et d\"automatique ; edited by R. Glowinski and J.L. Lions.|\n|Series||Lecture notes in physics -- 58|\n|Contributions||Glowinski, R., Lions, Jacques Louis., Iria Laboria.|\n|The Physical Object|\n|Pagination||viii, 593 p. :|\n|Number of Pages||593|\n8 issues per year. Subscription price. IJCSM is a peer-reviewed international journal that publishes high quality original papers and comprehensive survey articles in all areas of computing science and mathematics, with interfaces to physics, engineering, chemistry, biology, statistics, economics and the social sciences.\nAnalysis of car body structures\nFIDA Kenya strategic plan\nBark & Smile Mug Peace, Dude!\nStandard Abbreviations for Veterinary Medical Records\nAmericas History 6e V1 & Students Guide to History 10e\nNursing diagnosis reference manual\nPathways to the present\nKorean economy: today and tomorrow.\nMedical social work\nhistory of Oswestry School\nComputing Methods in Applied Sciences and Engineering. by Roland Glowinski (Editor) ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.\nAuthor: Roland Glowinski. Curved Finite Element Methods for the Solution of Integral Singular Equations on Surfaces in R3 Pages Nedelec, J. Computing Methods in Applied Sciences and Engineering Second International Symposium December 15–19, Computing Computing methods in applied sciences and engineering book in Applied Sciences and Engineering Computing Methods in Applied Sciences and Engineering International Symposium, Versailles, DecemberPart 2.\nEditors: Glowinski, R., Lions, J.L. (Eds.) Free Computing methods in applied sciences and engineering book. Buy this book eB48 €.\nThird International Symposium, December, IRIA LABORIA, Institut de Recherche d`Informatique et d`Automatique Computing Methods in Applied Sciences and Engineering, It seems that you're in USA. Computing Methods in Applied Sciences and Engineering,II Third International Symposium December 5–9, Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.\n1 Computing Methods in Applied Sciences and Engineering Part 2: International Symposium, Versailles, December 17–21, Computing methods in applied sciences and engineering, Proceedings of the Fourth International Symposium on Computing Methods in Applied Sciences and Engineering, Versailles, France, 10–14 December Edited by R.\nGlowinski and J. Lions. Published by North‐Holland, No. of pages: Price: $Author: Peter Bettess. Computing Methods in Applied Sciences and Engineering Part 2 International Symposium, Versailles, December 17–21, Students have the opportunity to take courses offered by the Faculties of Civil Engineering and Geodetic Science, Mathematics and Physics, Mechanical Engineering and Computer Science.\nGraduates of this Master’s degree programme are proficient in mathematical and IT methods as well as the engineering modelling of the simulation methods that.\nThe development of computer methods for the solution of scientific and engineering problems governed by the laws of mechanics was one of the great scientific and engineering achievements of the second half of the 20th century, with a profound impact on science and technology.\nThis is accomplished through advanced mathematical modeling and numerical solutions reflecting a. Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social : Peter R.\nTurner, Thomas Arildsen, Kathleen Kavanagh. ISBN: OCLC Number: Notes: \"Proceedings of the Ninth International Conference on Computing Methods in Applied Sciences and Engineering, Paris, France, January February 2, \"--Title page verso. In summary, the books presents the fundamentals of scientific computing in such a way that students from mathematics as well as from science or engineering can benefit.” (Gudula Rünger, Zentralblatt MATH, March, )Cited by: 6.\nThe book discusses important results in modern mathematical models and high performance computing, such as applied operations research, simulation of operations, statistical modeling and applications, invisibility regions and regular meta-materials, unmanned vehicles, modern radar techniques/SAR.\nBook Annex Membership Educators Gift Cards Stores & Events Help. Auto Suggestions are available once you type at least 3 letters. Use up arrow (for mozilla firefox browser alt+up arrow) and down arrow (for mozilla firefox browser alt+down arrow) to review and enter to : $ In computer science, research methods have historically been passed from advisor to student via apprenticeship [, ].\nMost of us learned these methods from a mentor or not at all. International Symposium on Computing Methods in Applied Sciences and Engineering, 2d, Versailles, Computing methods in applied sciences and engineering.\nBerlin ; New York: Springer-Verlag, (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors / Contributors: R Glowinski; J -L Lions; Iria Laboria. Find many great new & used options and get the best deals for Lecture Notes in Computer Science: Computing Methods in Applied Sciences and Engineering Pt.\n1: International Symposium, Versailles, December, 10 (, Paperback) at the best online prices at eBay. Free shipping for many products. International Symposium on Computing Methods in Applied Sciences and Engineering (2nd: Versailles). Computing methods in applied sciences and engineering.\nBerlin ; New York: Springer-Verlag, (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors / Contributors: R Glowinski; Jacques Louis Lions. adshelp[at] The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A.\nInternational Symposium on Computing Methods in Applied Sciences and Engineering (3rd: Versailles, France).\nComputing methods in applied sciences and engineering,I. Berlin ; New York: Springer-Verlag, (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors / Contributors. This book presents the full range of computational science and engineering -- the equations, numerical methods, and algorithms with MATLAB® codes.\nThe author has taught this material to thousands of engineers and scientists. The book is File Size: KB. Get this from a library. Computing methods in applied sciences and engineering, I.\n[Roland Glowinski; Jacques-Louis Lions; Institut de recherche d'informatique et. Computational Science and Engineering. (IDA Center for Computing Sciences). this approach is applied to MMS for the finite element analysis. The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering.\nCommon experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences. The book's strategy works for differential and integral equations and systems and for many theoretical and applied problems in mathematics, mathematical physics, probability and statistics, applied computer science and numerical methods.\nComputing methods in applied sciences and engineering; Proceedings of the 9th International Conference, Paris, France, Jan. Feb. 2, This book is intended as an introduction to numerical methods for scientists and ing an excellent balance of theoretical and applied topics, it shows the numerical methods used with C, C++, and Table of Contents1: Approximations and Errors in Computation.\n2: Solution of. Theoretical models in Computing Science Theoretical problems in Computing Science Measurements based research methods in computer Science & engineering Measurements based research methods in Signal and Image Processing, Graphics, Vision and Pattern Recognition Deductive Methods in Computing Science & engineering File Size: 2MB.\nEmphasis is given on current state-of-the-art methods and concepts in computing methods and their application in engineering practice. The book content is suitable for both practicing engineers and academics, covering a wide variety of topics in an effort to assist the timely dissemination of research findings for the mitigation of seismic : Hardcover.\nThis book provides a clear and precise exposition of modern numerical techniques. It is designed as a suitable text-book for engineering and science students upto the postgraduate level.\nEach method is illustrated by a number of solved examples/5. Numerical Methods for Computational Science and Engineering Introduction About this course Focus I on algorithms (principles, scope, and limitations), I on (e cient, stable) implementations in Matlab, I on numerical experiments (design and interpretation).\nNo emphasis on I theory and proofs (unless essential for understanding of algorithms) I hardware-related issues (e.g. Numerical Methods In Engineering & Science - CRC Press Book Numerical Methods in Engineering & Science: with Programs in C and C++ by BS Grewal is a very good book in Numerical Method subject of Engineering book is very popular among Engineering Students of 4th are providing this book for free download in pdf.\nOpen Access and Article Processing Charge (APC) All articles published in Applied Sciences (ISSN ) are published in full open order to provide free access to readers, and to cover the costs of peer review, copyediting, typesetting, long-term archiving, and journal management, an article processing charge (APC) of CHF (Swiss Francs) applies to.\nFind many great new & used options and get the best deals for Advanced Analytic Methods in Applied Mathematics, Science, and Engineering by Hung Cheng (, Paperback) at the best online prices at eBay. Free shipping for many products. It presents a compendium of state-of-the-art lectures delivered by recognised experts in the field on theoretical, numerical, and applied aspects of genetic algorithms for the computational optimization problems.\nIt also provides a bridge between artificial intelligence and scientific computing in order to increase Cited by: Proceedings of the 10th international conference on computing methods in applied sciences and engineering on Computing methods in applied sciences and engineering Second order absorbing boundary conditions for the wave equation: higher order energies and finite element methods.\nPublication: Proc. of the sixth int'l. symposium on Computing methods in applied sciences and engineering, VI June Pages – Computing methods in applied sciences and engineering, Proceedings of the Fourth International Symposium on Computing Methods in Applied Sciences and Engineering, Versailles, France, December Edited by R.\nGlowinski and J. Lions. Published by North-Holland, No. of pages: Price: $Author: Peter Bettess. Computational science and engineering (CSE) is a relatively new discipline that deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design (computational engineering) as well as natural phenomena (computational science).Problem decomposition and the use of domain-based parallelism in computational science and engineering was the subject addressed at a workshop held at the University of Minnesota Supercomputer Institute in April Read the latest articles of Computer Methods in Applied Mechanics and Engineering atElsevier’s leading platform of peer-reviewed scholarly literature.", "domain": "mathematics"} {"url": "https://topebooks.offersupermarket.com/Quantum_Chemistry_7th_Edition/p5025784_17821744.aspx", "date": "2018-05-21T12:38:13Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-22/segments/1526794864186.38/warc/CC-MAIN-20180521122245-20180521142245-00265.warc.gz", "language_score": 0.8699896931648254, "token_count": 182, "dump": "CC-MAIN-2018-22", "global_id": "webtext-fineweb__CC-MAIN-2018-22__0__40188249", "lang": "en", "text": "Known for its solid presentation of mathematics, this bestseller is a rigorous but accessible introduction to both quantum chemistry and the math needed to master it. Quantum Chemistry, Seventh Edition covers quantum mechanics, atomic structure, and molecular electronic structure, and provides a thorough, unintimidating treatment of operators, differential equations, simultaneous linear equations, and other areas of required math. Practical for readers in all branches of chemistry, the new edition reflects the latest quantum chemistry research and methods of computational chemistry, and clearly demonstrates the usefulness and limitations of current quantum-mechanical methods for the calculation of molecular properties.\nPlease note that this is a eBook PDF digital format and not a hardcover printed book and the PDF file will be sent to your email once the payment has been made and it can be read in all computers, smartphone, tablets etc. The digital book will be sent to your email address within 12 hours.", "domain": "mathematics"} {"url": "https://www.enarmour.com/blog?offset=1443431684338", "date": "2019-03-20T03:50:49Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-13/segments/1552912202199.51/warc/CC-MAIN-20190320024206-20190320050206-00301.warc.gz", "language_score": 0.9811640381813049, "token_count": 501, "dump": "CC-MAIN-2019-13", "global_id": "webtext-fineweb__CC-MAIN-2019-13__0__79448830", "lang": "en", "text": "Leonardo Bonacci (c. 1170 – c. 1250), popularly known as Fibonacci or Leonardo of Pisa, was the first great Western mathematician after the decline of Greek science.\nHis well-known moniker “Fibonacci” is derived from the Latin words “filius Bonacci”, literally translated to “son of Bonacci”. Fi'-Bonacci could be considered the equivalent of the English William-son or John-son.\nFibonacci was born in Pisa, Italy, to Guglielmo Bonacci, a wealthy merchant who directed a trading post at a major port located in present day Algeria. As a boy, Fibonacci accompanied his father on his commercial trips to the Orient. It was during his travels along the Mediterranean coast that the budding mathematician became acquainted with the Hindu-Arabic number system and discovered its enormous practical advantages compared to the Roman numerals, which were still current in Western Europe.\nFibonacci ended his travels around the year 1200 and returned to Pisa. Upon his return, inspired by his interactions with the foreign merchants he met while under the tutelage of his father, Leonardo wrote a number of influential texts that played an important role in reviving ancient mathematical skills. His works garnered him recognition among his contemporaries and high esteem from the reigning Holy Roman Emperor, Frederick II.\nHis most well-known published book is Liber Abaci (1202), literally translated as “Book of Calculations” or “Book of the Abacus”. The book, which went on to be widely copied and imitated, was based on the arithmetic and algebra that Fibonacci had accumulated during his travels. In it, Fibonacci introduced the so-called modus Indorum (method of the Indians), today known as Arabic numerals and the Hindu-Arabic place-valued decimal system. The book showed the practical importance of the new numeral system by applying it to commercial bookkeeping, conversion of weights and measures, the calculation of interest, money-changing, and other applications. Furthermore, Abaci contains a large collection of problems aimed at merchants. They relate to the price of goods, how to calculate profit on transactions, how to convert between the various currencies in use in Mediterranean countries, and problems which had originated in China. The book was well received throughout educated Europe and had a profound impact on European thought.", "domain": "mathematics"} {"url": "https://thelab.dc.gov/kevin.html", "date": "2022-05-27T15:22:19Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-21/segments/1652662658761.95/warc/CC-MAIN-20220527142854-20220527172854-00710.warc.gz", "language_score": 0.9576401710510254, "token_count": 269, "dump": "CC-MAIN-2022-21", "global_id": "webtext-fineweb__CC-MAIN-2022-21__0__49912345", "lang": "en", "text": "Kevin Wilson Ph.D.\nKevin was a Senior Data Scientist in The Lab @ DC. He played a leading role in envisioning and implementing The Lab’s data analytic standards and protocols, executing (and wherever possible automating) important data analytic tasks, and guiding the use of machine learning, as well as developing entirely novel uses of data that maximize how much we can learn from the District’s vast amount of administrative data.\nKevin brought years of experience in a wide array of data analytic topics, ranging from system and security architecture to advanced statistical techniques to the development of novel predictive models and commercial tools. As the Principal Data Scientist at Knewton-an education technology company-Kevin developed and implemented methods for drawing real time and retrospective insights from massive, complex datasets, and was especially involved in bridging the divide between classic techniques like psychometrics with the modern techniques of machine learning. Kevin also has experience explaining such complex topics to diverse audiences, ranging from small academic seminars to high school students. His work has appeared in such diverse venues as the Journal of Combinatorial Theory and Educational Data Mining, and some of his popular projects have been written up in the Washington Post and Daily Kos.\nKevin earned a B.S. in mathematics from University of Michigan and a Ph.D. in mathematics from Princeton University.", "domain": "mathematics"} {"url": "http://riudg.udg.mx/handle/20.500.12104/39074", "date": "2020-04-09T04:23:56Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-16/segments/1585371829677.89/warc/CC-MAIN-20200409024535-20200409055035-00378.warc.gz", "language_score": 0.8508190512657166, "token_count": 240, "dump": "CC-MAIN-2020-16", "global_id": "webtext-fineweb__CC-MAIN-2020-16__0__196695566", "lang": "en", "text": "Please use this identifier to cite or link to this item:\n|Title:||A novel hybrid representation and control of convective spatially distributed systems|\n|Abstract:||In this work we study spatially distributed convective systems described by first order partial differential equations and we show how this systems in a fixed spatial point can be exactly represented by a hybrid system with two commutable ordinary differential equations subsystems, where the first one is dominated by the initial condition, whereas the second one is governed by the boundary condition. Then we define the boundary control problem for spatially distributed convective systems and as a first approach, we propose a controller for one-dimensional systems which solves this problem. Finally, in order to test hybrid representation and controllers, a study case is presented for an enzymatic reactor, where dispersive terms can be neglected. � 2007 World Scientific Publishing Co. Pte. Ltd.|\n|Appears in Collections:||Producción científica UdeG|\nFiles in This Item:\nThere are no files associated with this item.\nItems in RIUdeG are protected by copyright, with all rights reserved, unless otherwise indicated.", "domain": "mathematics"} {"url": "http://solution-dailybrainteaser.blogspot.ca/2012/03/classic-hens-eggs-puzzle.html", "date": "2018-05-27T13:22:53Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-22/segments/1526794868316.29/warc/CC-MAIN-20180527131037-20180527151037-00363.warc.gz", "language_score": 0.9373155832290649, "token_count": 392, "dump": "CC-MAIN-2018-22", "global_id": "webtext-fineweb__CC-MAIN-2018-22__0__18553209", "lang": "en", "text": "Classic Hens Eggs Puzzle Solution - 22 March\nA chicken farmer has figured out that a hen and a half can lay an egg and a half in a day and a half. How many hens does the farmer need to produce one dozen eggs in six days?\nUpdate Your Answers at : Click Here\nthe farmer needs 3 hens to produce 12 eggs in 6 days\nThis is a classic problem that many people get wrong because they reason that half of a hen cannot lay an egg, and a hen cannot lay half an egg. However, we can get a satisfactory solution by treating this as a purely mathematical problem where the numbers represent averages.\nTo solve the problem, we first need to find the rate at which the hens lay eggs. The problem can be represented by the following equation, where RATE is the number of eggs produced per hen·day:\n1½ hens × 1½ days × RATE = 1½ eggs\nWe convert this to fractions thus:\n3/2 hens × 3/2 days × RATE = 3/2 eggs\nMultiplying both sides of the equation by 2/3, we get:\n1 hen × 3/2 days × RATE = 1 egg\nMultiplying both sides of the equation again by 2/3 and solving for RATE, we get:\nRATE = 2/3 eggs per hen·day\nNow that we know the rate at which hens lay eggs, we can calculate how many hens (H) can produce 12 eggs in six days using the following equation:\nH hens × 6 days × 2/3 eggs per hen·day = 12 eggs\nSolving for H, we get:\nH = 12 eggs /(6 days × 2/3 eggs per hen·day) = 12/4 = 3 hens\nTherefore, the farmer needs 3 hens to produce 12 eggs in 6 days.", "domain": "mathematics"} {"url": "https://lauratitolo.github.io/publication/2018lopstr/", "date": "2024-04-20T07:54:50Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296817491.77/warc/CC-MAIN-20240420060257-20240420090257-00325.warc.gz", "language_score": 0.9501153826713562, "token_count": 183, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__154457484", "lang": "en", "text": "Round-off errors arising from the difference between real numbers and their floating-point representation cause the control flow of conditional floating-point statements to deviate from the ideal flow of the real-number computation. This problem, which is called test in- stability, may result in a significant difference between the computation of a floating-point program and the expected output in real arithmetic. In this paper, a formally proven program transformation is proposed to detect and correct the effects of unstable tests. The output of this transformation is a floating-point program that is guaranteed to return either the result of the original floating-point program when it can be assured that both its real and its floating-point flows agree or a warning when these flows may diverge. The proposed approach is illustrated with the transformation of the core computation of a polygon containment algorithm developed at NASA that is used in a geofencing system for unmanned aircraft systems.", "domain": "mathematics"} {"url": "https://duarte.oflschools.com/student-resources/tutoring/", "date": "2023-12-05T08:39:04Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100550.40/warc/CC-MAIN-20231205073336-20231205103336-00320.warc.gz", "language_score": 0.920699417591095, "token_count": 157, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__107413793", "lang": "en", "text": "We know school can sometimes be difficult. That’s why we have dedicated Tutors at our centers every day to help you succeed!\nPlease talk to your teacher if you are interested in signing up for tutoring.\nMath tutoring is available:\nMonday- Wednesday : 8:00am-12:00pm & 1:00pm-4:00pm\nThursday : 8:00am-12:00pm & 1:00pm-3:00pm\nTo contact your Math Tutor, Marissa, please email her at firstname.lastname@example.org\nEnglish tutoring is available:\nMonday- Thursday: 8:00am-12:00pm & 1:00pm-4:00pm", "domain": "mathematics"} {"url": "https://qofefofo.tk/compatibility-stability-and-sheaves.php", "date": "2020-02-24T11:41:08Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-10/segments/1581875145941.55/warc/CC-MAIN-20200224102135-20200224132135-00077.warc.gz", "language_score": 0.8951203227043152, "token_count": 1110, "dump": "CC-MAIN-2020-10", "global_id": "webtext-fineweb__CC-MAIN-2020-10__0__74428417", "lang": "en", "text": "As a consistency check: an explicit calculation using these expressions leads to the sign predicted by Main Conjecture 6. We should therefore not separate these three terms. This motivates the following definition. The proof is similar to that of Proposition 6. The degenerate cases can be done similarly. In this section, we explain where the sign in Main Conjecture 6. The argument is a variation on [ 39 , Sect.\nExamples 6. In this section, we prove Main Conjecture 6.\nPandharipande and Thomas need two conjectures for their argument [ 47 , Conj. We need completely similar analogs of their conjectures in our setting. The second will be described below. The analog of the second conjecture of Pandharipande and Thomas [ 47 , Conj. Their definition and equations 45 and 46 hold under the assumptions of Conjecture 6.\nSuppose the setting is as in Conjecture 6. See Examples 6. We would like to thank K. Behrend, J. Bryan, J. Manschot, D. Maulik, and R. Thomas for useful discussions. We would also like to thank the anonymous referees whose comments led to an immense improvement of the exposition, e. Sign In. Advanced Search.\nArticle Navigation. Close mobile search navigation Article Navigation. Volume Article Contents.\nPart I: Classical. Part II: Virtual. Oxford Academic. Google Scholar. Martijn Kool. Correspondence to be sent to: e-mail: m. Benjamin Young. Cite Citation. Permissions Icon Permissions. See [ 24 ] for the construction of the moduli space and its history. In this article, we do not consider strictly semi-stable sheaves so this moduli space may be non-compact.\nIn this case, the moduli space is compact. When the moduli space is compact, this leads to a virtual cycle, which can be used to define deformation invariants.\nIts degree is known as a Donaldson—Thomas DT invariant. Equivariant torsion free sheaves are much harder to enumerate than equivariant reflexive sheaves. This can be viewed as the degree 0 part of rank 2 DT theory on smooth toric 3-folds.\nMentioned to us by Maulik and Manschot. Note that unlike the rank 1 case, there are no signs in this formula essentially because rank 2 is even. The following is strong evidence for Conjecture C. This formula is due to Klyachko [ 28 , 29 ]. Concretely, this works as follows. Let the situation be as in the previous definition. It is not hard to show this is a morphism [ 32 ]. The map 8 is therefore surjective but not injective. It can be made injective as follows. As discussed in the introduction, double duals of members of a flat family of torsion free sheaves do not need to form a flat family.\nThese data are represented by Figure 1. Open in new tab Download slide. We start with some definitions. Analogous to Definition 2. In Definition 2. The following generating function was introduced in Remark 2. Geometric proof. The geometric proof proceeds as follows. We first realize the left hand sides of Theorems 2. Proposition 2. Combining 17 , Prop. This problem is discussed in [ 10 , Ch. Theorem 3. Using formula 17 , Proposition 2. By the proof of [Kol, Thm. Consider the short exact sequence of Lemma 4.\nVerschoren, electronic resource Resource Information. The item Compatibility, stability, and sheaves, J. Verschoren, electronic resource represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University Of Pikeville. This item is available to borrow from 1 library branch. Creator Bueso, J.\nContributor Jara, P. Language eng. Publication New York, Marcel Dekker, c Extent xiv, p. Isbn Label Compatibility, stability, and sheaves Title Compatibility, stability, and sheaves Statement of responsibility J. Verschoren Creator Bueso, J. Verschoren, A. Label Compatibility, stability, and sheaves, J. Verschoren, electronic resource Instantiates Compatibility, stability, and sheaves Publication New York, Marcel Dekker, c Bibliography note Includes bibliographical references p.\nPreliminaries: There are lots of variations on the settings in which we define sheaves. I am concerned with the details linking the general definition below to the Grothendieck topology it generates; particularly, the assertion that sheaves with respect to a coverage are the same as sheaves with respect to the generated Grothendieck coverage. Descent can be phrased concisely in terms of subfunctors of Yoneda embeddings.\nWhat is not clear to me is how, \"One can then show that for every coverage, there is a unique Grothendieck coverage having the same sheaves. Sign up to join this community.\nVTLS Chameleon iPortal Communication Error Occurred.\nThe best answers are voted up and rise to the top. Home Questions Tags Users Unanswered.\nWhy are sheaves of a coverage the same as those on its generated Grothendieck coverage? Ask Question. Asked 1 year, 5 months ago.", "domain": "mathematics"} {"url": "http://endevco.com/our-resources/ask-the-experts/what-is-a-charge-amplifier-and-why-do-i-need-one", "date": "2023-12-05T19:09:09Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100555.27/warc/CC-MAIN-20231205172745-20231205202745-00489.warc.gz", "language_score": 0.860109269618988, "token_count": 246, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__251918512", "lang": "en", "text": "Our analysis goal is to end up with a gain equation in terms of vout/qin. In the process, we will gain some insight into how a charge amplifier deals with the problem of changing cable capacitance.\nFirst, let's sum all the charge flows:\nqin = qp + qc + qf\nBecause of the relationship q = CV, we can rewrite the above as:\nqin = vinCp + vinCc + vfCf\nqin = vin(Cp + Cc) + vfCf\nWe know, however, that vin = 0, because of the virtual short across the input terminals of the op amp (assume an ideal op amp). So the equation above simplifies to:\nqin = vfCf\nRearranging, we have:\nvf = qin/Cf\nAgain, because of the virtual short across the terminals of the op amp, we can say:\nvout = vf = qin/Cf\nRearranging again, we have:\nvout/qin = 1/Cf where units are mV/pC.", "domain": "mathematics"} {"url": "https://baziwukikyjupu.ekodeniz.com/advanced-engineering-mathematics-9th-edition-with-wiley-plus-set-book-2979kp.php", "date": "2021-10-27T06:11:05Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-43/segments/1634323588102.27/warc/CC-MAIN-20211027053727-20211027083727-00538.warc.gz", "language_score": 0.827752947807312, "token_count": 2528, "dump": "CC-MAIN-2021-43", "global_id": "webtext-fineweb__CC-MAIN-2021-43__0__19201236", "lang": "en", "text": "Published March 21, 2006 by John Wiley & Sons .\nWritten in EnglishRead online\nWiley Plus Products\n|The Physical Object|\n|Number of Pages||1|\nDownload Advanced Engineering Mathematics 9th Edition with Wiley Plus Set\nAdvanced Engineering Mathematics 10th Edition Binder Ready Version with WileyPLUS Set (Wiley Plus Products) Out of Print--Limited Availability. U.S. 9th Edition Hardcover Book in Like New Condition, Save MONEY and buy the previous edition!/5().\nAdvanced Engineering Mathematics 9th Edition with Wiley Plus Webct Powerpack Set book. Read 36 reviews from the world's largest community for readers. A /5. Erwin Kreyszig: Advanced Engineering Mathematics 9th Edition with Wiley Plus WebCT Powerpack Set 9th Edition 0 Problems solved: Erwin Kreyszig: Advanced Engineering Mathematics and ODE Architect Companion 8th Edition 0 Problems solved: Erwin Kreyszig: Advanced Engineering Mathematics, 10th Edition International Student Version 10th Edition 10th edition Loose-leaf.\nSelectWiley, Hoboken, NJ ISBN 10th Revised edition Hardcover. SelectJohn Wiley & Sons Inc, New York ISBN Paperback. SelectJohn Wiley & Sons ISBN 9th edition Unknown binding. SelectJohn Wiley & Sons ISBN 9th edition 4/5(3).\nFind helpful customer reviews and review ratings for Advanced Engineering Mathematics: WITH Wiley Plus (Wiley Plus Products) at Read honest and unbiased product reviews from our users/5(48). Try the new Textbook Rental option on with instant eBook access for Engineering Mechanics: Statics, 9th Edition Engineering Mechanics: Statics, 9th Edition.\nJames L. Meriam, L. Kraige, J. Bolton. ISBN: February Professor Kraige has devoted his attention to the teaching of mechanics at both. Advanced Engineering Mathematics 9th Edition with Wiley Plus WebCT Powerpack Set. Erwin Kreyszig.\nWiley, In books such as Introductory Functional Analysis with Applications and Advanced Engineering Mathematics, Erwin Kreyszig attempts to relate the changing character and content of mathematics to practical problems Reviews: 3. Expertly curated help for Advanced Engineering Mathematics.\nPlus, get access to millions of step-by-step textbook solutions for thousands of other titles, a vast, searchable Q&A library, and subject matter experts on standby 24/7 for homework Edition: 9th Engineering Mechanics: Dynamics provides a solid foundation of mechanics principles and helps students develop their problem-solving skills with an extensive variety of engaging problems related to engineering design.\nMore than 50% of the homework problems are new, and there are also a number of new sample problems. To help students build necessary visualization and problem-solving skills. Advanced Engineering Mathematics 9th Edition with Math Computer Guide Set (Hardcover) Published September 8th by John Wiley & Sons Hardcover, 0 pagesCited by: How is Chegg Study better than a printed Advanced Engineering Mathematics 8th Edition student solution manual from the bookstore.\nOur interactive player makes it easy to find solutions to Advanced Engineering Mathematics 8th Edition problems you're working on - just go to the chapter for your book.\nFull text of \"Advanced Engineering Mathematics Kreyszig E. 9th Ed (Wiley, )(s)\" See other formats. - Buy Advanced Engineering Mathematics 9th Edition with Wiley Plus WebCT Powerpack Set (Wiley Plus Products) book online at best prices in India on Read Advanced Engineering Mathematics 9th Edition with Wiley Plus WebCT Powerpack Set (Wiley Plus Products) book reviews & author details and more at Free delivery on qualified orders/5(2).\nSolution Manuals Of ADVANCED ENGINEERING MATHEMATICS By ERWIN KREYSZIG 9TH EDITION This is Downloaded From Visit INSTRUCTOR’S MANUAL FOR ADVANCED ENGINEERING MATHEMATICS NINTH EDITION ERWIN KREYSZIG Professor of Mathematics Ohio State University Columbus, Ohio JOHN WILEY & SONS, INC. 9/15/05 PM Page Size: 2MB.\nSolution Manual Of Advanced Engineering Mathematics By Erwin Kreyszig 9th Edition Solution Manual Of Advanced Engineering Mathematics By Erwin Kreyszig 9th Edition. Topics dani Collection Internet Archive HTML5 Uploader plus-circle Add Review.\ncomment. Reviews Reviewer: krishna - favorite favorite favorite - April searching for a book Advanced Engineering Mathematics, Fifth Edition by Kenneth Stroud in pdf format, in that case you come on to the correct USA is a privately held American retailer of various hunting and outdoor-related ad this Advanced Engineering.\n4th edition. Advanced engineering mathematics by erwin kreyszig 9th edition solution manual. thankes alot for your service Asked in Calculus, Proofs, India College Exams and Certificates. Learn how we are breaking down barriers to student success.\nWiley Advantage Pricing Accounting Anatomy & Physiology Biology Business & Decision Science Chemistry Culinary Engineering & Materials Science Environmental Science Finance Geography Management Marketing Math & Statistics Nutrition Physics Psychology World Languages Accounting Accounting Principles, 13th Edition By Jerry J.\nAdvanced Engineering Mathematics 9th Edition with Wiley Plus Set (Wiley Plus Products) / Kreyszig, Erwin / ISBN (2 copies separate) Advanced engineering mathematics / Kreyszig, Erwin / ISBN (2 copies separate)/5(2).\nWileyPLUS Login Page. Choose the New WileyPLUS Platform if: Your course code begins with an “A” You have a registration code that starts with a “W” New WileyPLUS Platform.\nChoose the Legacy WileyPLUS platform if: Your course code is 6 numeric characters. You have a registration code that starts with an “X” Legacy WileyPLUS Platform. Examples of alliteration in the book hatchet Manual 9th Edition Set' 'Advanced Engineering Mathematics 9th Edition with Wiley Plus Set' 'Kreyszig Advanced Engineering Mathematics' 'Advanced.\nhigh school math. social sciences. literature and english. foreign languages. John Wiley & Sons and WebAssign have teamed up to provide a best-in-breed solution to your homework and assessment needs. WebAssign includes a complete online version of the text, the Student Study Guide, the Student Solutions Manual, and a variety of interactive study aids.\n> Advanced Engineering Mathematics, 6th Edition Peter V. O'Neil > > Advanced Financial Accounting 6e by Richard E. Baker, Valdean C. Lembke, Thomas E.\nKing > > Applied Statistics And Probability For Engineers by Montgomery Runger (Third Edition) > > ADAPTIVE FILTER THEORY (Fourth Edition) by.\nE books and their solution manuals Inc) Advanced Engineering Mathematics, 9th Ed by Erwin Kreyszig (John Wiley & Sons, Inc) An Introduction to Statistical Learning with Applications in R by Witten, Hastieand Tibshirani (Springer Series An Introduction to The Finite Element Method 3rd Ed by J.\nReddy Analytical Mechanics / Edition 7 by. Advanced Engineering Mathematics 10E with Wiley Plus Code, 10E Authors: Kreyszig More info» ISBN: Publisher: Wiley, Notes: Or text option: Advanced Engineering Mathematics 10 E, binder ready version with Wiley Plus Code, ISBN Software – the set of instructions that directs the hardware.\nNetworking – allows knowledge workers to share resources including hardware, software and information, etc. The Components of IT M 18 Random Access Memory (RAM) is the primary memory that serves as. Head First Web Design Pdf P L Soni Inorganic Chemistry Pdf 20 Ways To Draw Everything Blood, Sweat, And Pixels: The Triumphant, Turbulent Stories Behind How Video Games Are Made Spelunky (boss Fight Books, #11) Illustrated Bible Palgrave Macmillan Andrew Heywood 4th Edition Politics Baxter's Explore The Book Pdf Essential Communication 2nd Edition Ebook Morgan Know Your Bible Iit Physics Book.\nIIT-JEE main and advanced, CBSE Standard 12 Math Survival Guide-Definite Integral by Prof. Subhashish Chattopadhyay SKM Classes Bangalore Useful for PU-II AP-Maths IGCSE IB AP-Mathematics, State Board or High School exams, College Math exams and other exams.\nThis free e-Book covers how to. erwin kreyszig advanced engineering mathematics 9th edition solutions manual cd as the complementary today. This is a stamp album that will doing you even Erwin Kreyszig Advanced Engineering Mathematics 9th starting the kreyszig advanced engineering mathematics solution manual to admission every morning is up to standard for many people.\nISBN: Marketing T+ Fundamentals [ ] From $65 VIEW DETAILS. Business and Company Law, 2nd Edition. Algebra 1: Common Core (15th Edition) Charles, Randall I. Publisher Prentice Hall ISBN PDF Applied Statistics and Probability for Engineers 6th Ed INSTRUCTOR SOLUTIONS MANUAL; Montgomery, Runger Showing of 23 messages.\nSOLUTIONS MANUAL Advanced Engineering Mathematics 2nd Edition by Michael D. Greenberg. This book covers the following topics: Orbits and Light, Spectroscopy, Telescopes, Solar System, Planetary System Formation, The Sun, Properties of Stars, Interstellar Medium, Star Formation, Stellar Evolution.\nThis note is a survey of observational astronomy across the electromagnetic spectrum. Topics covered includes: overview of current. Here is an unordered list of online mathematics books, textbooks, monographs, lecture notes, and other mathematics related documents freely available on the web.\nI tried to select only the works in book formats, \"real\" books that are mainly in PDF format, so many well-known html-based mathematics web pages and online tutorials are left out.\nMathematics books Need help in math. Delve into mathematical models and concepts, limit value or engineering mathematics and find the answers to all your questions. It doesn't need to be that difficult. Our math books are for all study levels.\nIn addition to expanded explanations, the 10th edition includes new problems, updated figures and examples to help motivate students. The book is written primarily for undergraduate students of mathematics, science, or engineering, who typically take a course on differential equations during their first or second year of study.\nAdvanced Engineering Mathematics, Student Solutions Manual And Study Guide 9th Edition Solutions Manuals. Chegg Solution Manuals are written by vetted Chegg 1 experts, and rated by this course.\nOrganic Chemistry, 3rd Edition - Wiley is the trusted online center highly dedicated to providing the educators, students with.\nplus two others characteristics (cumulative frequency and cumulative relative frequency) thus including information about how they are sorted. Cumulative frequency of the i-th variant mi - is a number of values of a variable showing the frequency of variants less or equal the i-th variant.\nThe first prerequisite for learning the book is a working info of calculus, gained from a standard two, or three semester course sequence or its equal.\nSome familiarity with matrices can also be helpful inside the chapters on methods of differential equations. How to Download Elementary Differential Equations, 10th. Description. For courses in college algebra. This package includes MyMathLab ®. Prepare. Practice. Review. Mike Sullivan’s time-tested approach focuses students on the fundamental skills they need for the course: preparing for class, practicing with homework, and reviewing the concepts.\nThe Tenth Edition has evolved to meet today’s course needs. With this new edition, Mike Sullivan has Format: On-line Supplement.Download Form \"Bookz2\" Discription is Advanced Engineering Mathematics -9th Edition By Erwin Kreyszig, Published by John Wiley & Sons Inc.,1, Pages with size tely Free For students DMCA copyright claimed.The title, author or ISBN number can also be used to find information from on-line bookstores such as Amazon, Barnes & Noble or Borders; or from sites like Aaapricesearch, A1Books, BookByte, BookFinder4U, (this one allows comparison of several books in a single search), BuyUsedTextbooks, Campus Books, CampusI, Chambal, Cheap-Textbooks, CheapestTextbooks.", "domain": "mathematics"} {"url": "https://www.clsong.com/", "date": "2022-11-29T00:06:34Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-49/segments/1669446710684.84/warc/CC-MAIN-20221128235805-20221129025805-00839.warc.gz", "language_score": 0.8895355463027954, "token_count": 226, "dump": "CC-MAIN-2022-49", "global_id": "webtext-fineweb__CC-MAIN-2022-49__0__185940433", "lang": "en", "text": "I am a theoretical and computational ecologist. My research program is motivated by the pervasive existence of context-dependency—results are only true under particular circumstances—in ecological systems, which fundamentally hinders generalization and prediction under uncertainty. To address this problem, my research centers on developing a theoretically rigorous and computationally feasible ‘common currency’, and using the common currency to synthesize empirical findings across study systems and scales.\nI am currently a postdoc with Jonathan Levine at Princeton University. I was a postdoc co-supervised by Andrew Gonzalez at McGill University and Marie-Josée Fortin at University of Toronto from 2020-2022. I received a PhD in Civil and Environmental Engineering from MIT under the supervision of Serguei Saavedra, and a BS in Mathematics from Zhejiang University under the supervision of Yang-Yu Liu.\nYou can reach me via email: clsong.ecology AT gmail DOT com.\nPhD in Civil and Environmental Engineering, 2016 - 2020\nMassachusetts Institute of Technology\nBSc in Mathematics, 2013 - 2016", "domain": "mathematics"} {"url": "https://www.homeschoolplus.com/learn/faq", "date": "2024-03-04T14:32:09Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947476452.25/warc/CC-MAIN-20240304133241-20240304163241-00835.warc.gz", "language_score": 0.9252828359603882, "token_count": 779, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__41541250", "lang": "en", "text": "Homeschool+™ Frequently Asked Questions\nWhat is Homeschool+?\nHomeschool+ is a homeschool curriculum designed to support home educators in creating a customized learning environment for children ages 4 to 8. The curriculum includes fully adaptive math and reading programs and 19 online courses covering math, reading, science, language arts, social studies, art, Spanish, and more.\nWho is Homeschool+ for?\nHomeschool+ is perfect for homeschool families with children ages 4-to-8 years old and home educators looking for additional home instruction tools coupled with complete lesson plans, a lesson planner, and robust progress tracking. Learning experts designed the curriculum to be customizable to fit the needs of multiple homeschool styles and unique needs of your homeschool.\nHow much does Homeschool+ cost?\nYour Homeschool+ subscription is $39.99* per month until canceled. An annual Homeschool+ subscription is $299.99* per year until canceled.\n*Pricing does not reflect any applicable promotional or third party pricing.\nWhat is included with my Homeschool+ subscription?\nYour subscription includes My Math Academy® and My Reading Academy™, fully adaptive math and reading programs for children ages 4 to 8 that cover four years of learning. Additionally, you’ll have access to 19 Art, Science, & General Knowledge courses with 15–20 individual lessons each covering art, sciences, social studies, language arts, and Spanish. Homeschool Educator Tools (Lesson Plans, Lesson Planner, and Progress Tracker) are also available so you can design and manage your unique homeschool.\nThe Lesson Plans contain fun, offline, child-approved activities designed to meet your family’s unique needs and allow further learning exploration on a topic. With the Lesson Planner, you can customize your curriculum by adding, removing, or moving lessons. The Progress Tracker provides detailed information to help make record-keeping easy.\nIs Homeschool+ an online or an offline curriculum?\nWe understand that learning can take place anywhere, and therefore Homeschool+ was designed with an ideal balance of online and offline activities. Offline lesson plans are designed to seamlessly fit into your homeschool curriculum and bring learning into the real world.\nHow does My Math Academy work?\nMy Math Academy is a game-based, homeschool math curriculum designed to help children master essential math concepts and skills. In-game, adaptive placement activities assess your child’s current skill level and assigns them a learning path unique to their needs. Targeted wrong-answer feedback helps motivate and engage young learners.\nHow does My Reading Academy work?\nMy Reading Academy is a fully adaptive learn-to-read system featuring digital books, activities, and videos. It’s designed to help build reading comprehension and fluency. Just-right challenges help maximize learning and build confidence.\nHow do the Art, Sciences & General Knowledge courses work?\nThere are 19 courses available covering science, language arts, social studies, art, Spanish, and more. Each course has 15–20 individual lessons. And each lesson has a corresponding offline lesson plan with three levels of activities to take learning into the real world.\nWhat resources are available for home educators?\nHome educators have access to the Lesson Planner, Lesson Plans, and Progress Tracker, giving you support, freedom, and the flexibility to customize your curriculum.\nHow much time should my child spend on Homeschool+ a day?\nWe recommend that children spend 20 minutes a day, 5 days a week using My Math Academy and My Reading Academy. Children should do one Arts, Sciences, and General Knowledge lesson per day with a different subject each day of the week. You can customize and add 1–3 more Arts, Sciences, and General Knowledge lessons per day.", "domain": "mathematics"} {"url": "https://tamrakgarcia.wordpress.com/category/math/", "date": "2021-10-24T22:16:56Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-43/segments/1634323587606.8/warc/CC-MAIN-20211024204628-20211024234628-00712.warc.gz", "language_score": 0.9473270773887634, "token_count": 335, "dump": "CC-MAIN-2021-43", "global_id": "webtext-fineweb__CC-MAIN-2021-43__0__104412201", "lang": "en", "text": "I hate math. But life is all about numbers; especially a diabetic life. I guess my hatred for math could be one reason why I have such a difficult time getting through life and controlling my diabetes. I’m not bad at math, it actually isn’t all that difficult in a day-to-day perspective. I just hate doing it, especially all day, everyday, over and over again. Ugh!\nFor a diabetic, math comes up a million times a day. Counting carbs, protein, fat, and calories with every meal. Checking blood sugar at least four times a day. Determining insulin dosage based on those food counts and blood sugar readings at least four times per day.\nYeah, it’s a number game.\nI was in bed trying to fall asleep the other night and I got to wondering just how many times I’ve pricked my finger and injected myself in my lifetime. Then the question evolved to how many doctors visits, tests, procedures, hospitalizations, surgeries, etc., I’ve had because of my diabetes.\nI’ve been diabetic for 27 years. Let’s add up the numbers.\nThese are mostly estimates due to the fact that schedules and routines have changed year to year…and other factors.\nFinger pricks: >40,000\nInjections (not just insulin): >50,000\nDoctor visits: >300\nLab Draws: >120\nTests (other than lab draws): >100\nProcedures (not surgery): >30\nAnd many, many more numbers to come!", "domain": "mathematics"} {"url": "https://intuitionism.askdefine.com/", "date": "2018-11-17T11:29:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-47/segments/1542039743353.54/warc/CC-MAIN-20181117102757-20181117124757-00378.warc.gz", "language_score": 0.8860764503479004, "token_count": 2607, "dump": "CC-MAIN-2018-47", "global_id": "webtext-fineweb__CC-MAIN-2018-47__0__189294652", "lang": "en", "text": "intuitionism n : (philosophy) the doctrine that knowledge is acquired primarily by intuition\n- This article is about Intuitionism in mathematics and philosophical logic. For other uses, see Ethical intuitionism.\nIn the philosophy of mathematics, intuitionism, or neointuitionism (opposed to preintuitionism), is an approach to mathematics as the constructive mental activity of humans. That is, mathematics does not consist of analytic activities wherein deep properties of existence are revealed and applied. Instead, logic and mathematics are the application of internally consistent methods to realize more complex mental constructs.\nTruth and proof\nThe fundamental distinguishing characteristic of intuitionism is its interpretation of what it means for a mathematical statement to be true. As the name suggests, in Brouwer's original intuitionism, the truth of a statement is taken to be equivalent to the mathematician being able to intuit the statement. The vagueness of the intuitionistic notion of truth often leads to misinterpretations about its meaning. Kleene formally defined intuitionistic truth from a realist position, however Brouwer would likely reject this formalization as meaningless, given his rejection of the realist/Platonist position. Intuitionistic truth therefore remains somewhat ill defined. Regardless of how it is interpreted, intuitionism does not equate the truth of a mathematical statement with its provability. However, because the intuitionistic notion of truth is more restrictive than that of classical mathematics, the intuitionist must reject some assumptions of classical logic to ensure that everything he/she proves is in fact intuitionistically true. This gives rise to intuitionistic logic.\nTo claim an object with certain properties exists is, to an intuitionist, to claim to be able to construct a certain object with those properties. Any mathematical object is considered to be a product of a construction of a mind, and therefore, the existence of an object is equivalent to the possibility of its construction. This contrasts with the classical approach, which states that the existence of an entity can be proved by refuting its non-existence. For the intuitionist, this is not valid; the refutation of the non-existence does not mean that it is possible to find a constructive proof of existence. As such, intuitionism is a variety of mathematical constructivism; but it is not the only kind.\nAs well, to say A or B, to an intuitionist, is to claim that either A or B can be proved. In particular, the law of excluded middle, A or not A, is disallowed since one can construct, via Gödel's incompleteness theorems, a mathematical statement that can be neither proven nor disproved.\nThe interpretation of negation is also different. In classical logic, the negation of a statement asserts that the statement is false; to an intuitionist, it means the statement is refutable (i.e., that there is a proof that there is no proof of it). The asymmetry between a positive and negative statement becomes apparent. If a statement P is provable, then it is certainly impossible to prove that there is no proof of P; however, just because there is no proof that there is no proof of P, we cannot conclude from this absence that there is a proof of P. Thus P is a stronger statement than not-not-P.\nIntuitionistic logic substitutes justification for truth in its logical calculus. The logical calculus preserves justification, rather than truth, across transformations yielding derived propositions. It has given philosophical support to several schools of philosophy, most notably the Anti-realism of Michael Dummett.\nIntuitionism also rejects the abstraction of actual infinity; i.e., it does not consider as given objects infinite entities such as the set of all natural numbers or an arbitrary sequence of rational numbers. This requires the reconstruction of the foundations of set theory and calculus as constructivist set theory and constructivist analysis respectively.\nHistory of IntuitionismIntuitionism's history can perhaps be traced to the nineteenth century. Cantor and his teacher Kronecker — a confirmed finitist — disagreed. Frege's effort to reduce all of mathematics to a logical formulation was a scientific breakthrough in the department of logic, and it greatly inspired the younger generation, including a youthful Bertrand Russell.\nBut Frege himself counted it as failure when a young Bertrand Russell sent Frege a letter about his hot-off-the-presses first volume, outlining the famous paradox now known as Russell's Paradox, that showed how one of Frege's rules of self-reference was self-contradictory. Frege, the story goes, plunged into depression and did not publish the second and third volumes of his work as he had planned. For more see Davis (2000) Chapters 3 and 4: Frege: From Breakthrough to Despair and Cantor: Detour through Infinity. See van Heijenoort for the original works and Heijenoort's commentary.\nIn the early twentieth century Brouwer represented the intuitionist position and Hilbert the formalist — see van Heijenoort. Kurt Gödel offered opinions referred to as Platonist. (see various sources re Gödel). Alan Turing considers: \"non-constructive systems of logic with which not all the steps in a proof are mechanical, some being intuitive\" (Turing (1939) Systems of Logic Based on Ordinals in Undecidable, p. 210) Later, Kleene brought forth a more rational consideration of intuitionism in his Introduction to Meta-mathematics (1952). For the view that there are no paradoxes in Cantorian set theory — thus calling into question the program of intuitionist mathematics, see Alejandro Garciadiego's now-classic Bertrand Russell and the Origins of the Set-Theoretic Paradoxes.\nBranches of intuitionistic mathematics\n- W. S. Anglin, Mathematics: A Concise history and Philosophy, Springer-Verlag, New York, 1994.\n- Martin Davis (ed.) (1965), The Undecidable, Raven Press, Hewlett, NY. Compilation of original papers by Gödel, Church, Kleene, Turing, Rosser, and Post.\n- Engines of Logic: Mathematicians and the origin of the Computer\n- John W. Dawson Jr., Logical Dilemmas: The Life and Work of Kurt Gödel, A. K. Peters, Wellesley, MA, 1997.\n- Less readable than Goldstein but, in Chapter III Excursis, Dawson gives an excellent \"A Capsule History of the Development of Logic to 1928\".\n- Rebecca Goldstein, Incompleteness: The Proof and Paradox of Kurt Godel, Atlas Books, W.W. Norton, New York, 2005.\n- In Chapter II Hilbert and the Formalists Goldstein gives further historical context. As a Platonist Gödel was reticent in the presence of the logical positivism of the Vienna Circle. She discusses Wittgenstein's impact and the impact of the formalists. Goldstein notes that the intuitionists were even more opposed to Platonism than Formalism.\n- van Heijenoort, J., From Frege to Gödel, A Source Book in Mathematical Logic, 1879-1931, Harvard University Press, Cambridge, MA, 1967. Reprinted with corrections, 1977. The following papers appear in van Heijenoort:\n- L.E.J. Brouwer, 1923, On the significance of the principle of excluded middle in mathematics, especially in function theory [reprinted with commentary, p. 334, van Heijenoort]\n- Andrei Nikolaevich Kolmogorov, 1925, On the principle of excluded middle, [reprinted with commentary, p. 414, van Heijenoort]\n- L.E.J. Brouwer, 1927, On the domains of definitions of functions, [reprinted with commentary, p. 446, van Heijenoort]\n- Although not directly germane, in his (1923) Brouwer uses certain words defined in this paper.\n- L.E.J. Brouwer, 1927(2), Intuitionistic reflections on formalism, [reprinted with commentary, p. 490, van Heijenoort]\n- Jacques Herbrand, (1931b), \"On the consistency of arithmetic\", [reprinted with commentary, p. 618ff, van Heijenoort]\n- From van Heijenoort's commentary it is unclear whether or not Herbrand was a true \"intuitionist\"; Gödel (1963) asserted that indeed \"...Herbrand was an intuitionist\". But van Heijenoort says Herbrand's conception was \"on the whole much closer to that of Hilbert's word 'finitary' ('finit') that to \"intuitionistic\" as applied to Brouwer's doctrine\".\n- Gnomes in the Fog. The Reception of Brouwer's Intuitionism in the 1920s\n- Arend Heyting: Intuitionism: An Introduction\n- Introduction to Meta-Mathematics\n- In Chapter III A Critique of Mathematic Reasoning, §11. The paradoxes, Kleene discusses Intuitionism and Formalism in depth. Throughout the rest of the book he treats, and compares, both Formalist (classical) and Intuitionist logics with an emphasis on the former. Extraordinary writing by an extraordinary mathematician.\n- Constance Reid, Hilbert, Copernicus - Springer-Verlag, 1st edition 1970, 2nd edition 1996.\n- Definitive biography of Hilbert places his \"Program\" in historical context together with the subsequent fighting, sometimes rancorous, between the Intuitionists and the Formalists.\n- Paul Rosenbloom, The Elements of Mathematical Logic, Dover Publications Inc, Mineola, New York, 1950.\n- In a style more of Principia Mathematica -- many symbols, some antique, some from German script. Very good discussions of intuitionism in the following locations: pages 51-58 in Section 4 Many Valued Logics, Modal Logics, Intuitionism; pages 69-73 Chapter III The Logic of Propostional Functions Section 1 Informal Introduction; and p. 146-151 Section 7 the Axiom of Choice.\n- A. A. Markov (1954) Theory of algorithms. [Translated by Jacques J. Schorr-Kon and PST staff] Imprint Moscow, Academy of Sciences of the USSR, 1954 [i.e. Jerusalem, Israel Program for Scientific Translations, 1961; available from the Office of Technical Services, U.S. Dept. of Commerce, Washington] Description 444 p. 28 cm. Added t.p. in Russian Translation of Works of the Mathematical Institute, Academy of Sciences of the USSR, v. 42. Original title: Teoriya algorifmov. [QA248.M2943 Dartmouth College library. U.S. Dept. of Commerce, Office of Technical Services, number OTS 60-51085.]\n- A secondary reference for specialists: Markov opined that \"The entire significance for mathematics of rendering more precise the concept of algorithm emerges, however, in connection with the problem of a constructive foundation for mathematics....[p. 3, italics added.] Markov believed that further applications of his work \"merit a special book, which the author hopes to write in the future\" (p. 3). Sadly, said work apparently never appeared.\nintuitionism in Czech: Intuicionistická logika\nintuitionism in German: Intuitionismus\nintuitionism in Spanish: Intuicionismo\nintuitionism in Esperanto: Intuiciismo\nintuitionism in Croatian: Intuicionizam\nintuitionism in Italian: Intuizionismo\nintuitionism in Dutch: Intuïtionisme\nintuitionism in Japanese: 数学的直観主義\nintuitionism in Polish: Intuicjonizm (matematyka)\nintuitionism in Portuguese: Intuicionismo\nintuitionism in Russian: Интуиционизм\nintuitionism in Turkish: Sezgici Matematik\nintuitionism in Chinese: 数学直觉主义", "domain": "mathematics"} {"url": "https://iq.wiki/wiki/elliptic-curve-cryptography-ecc", "date": "2024-04-16T10:06:42Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296817081.52/warc/CC-MAIN-20240416093441-20240416123441-00351.warc.gz", "language_score": 0.949911892414093, "token_count": 931, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__171844580", "lang": "en", "text": "Elliptic Curve Cryptography (ECC)\nElliptic Curve Cryptography (ECC) is a key-based technique for encrypting data famous for being smaller, faster, and more efficient than incumbents. ECC focuses on pairs of public and private keys for decryption and encryption of web traffic. ECC is frequently discussed in the context of the Rivest–Shamir–Adleman (RSA) cryptographic algorithm.\nThere are two main different types of encryptions - symmetric encryption, which uses one key to both encrypt and decrypt (e.g. AES), and asymmetric encryption, which uses two different keys (e.g. RSA). These are often called a public and private key, where the private key is not to be disclosed.\nRSA uses integer factorization cryptography based on algebraic number theory, while elliptic curve cryptography (ECC) uses integer factorization cryptography based on elliptic curves.\nElliptic Curve Cryptography is a choice for public-key-cryptography, based on elliptic curves over finite fields.\nECC is used as the cryptographic key algorithm in Bitcoin because it potentially can save ~90% of the resources used by a similar RSA system.\nRSA vs. ECC\nECC and RSA both generate a public and private key and allow two parties to communicate securely. One advantage to ECC however, is that a 256-bit key in ECC offers about the same security as a 3072-bit key using RSA. ECC allows resource-constrained systems like smartphones, embedded computers, and cryptocurrency networks to use ~10% of the storage space and bandwidth required by RSA.\nBased on the idea that the key that anyone uses to encrypt data can be made public while the key that is used to decrypt your data can be kept private. As such, these systems are known as public key cryptographic systems. The first, and still most widely used of these systems, is known as RSA — named after the initials of the three men who first publicly described the algorithm: Ron Rivest, Adi Shamir and Leonard Adleman.\nWhen both the RSA algorithm and the Diffie-Hellman key exchange algorithm were introduced, these new algorithms were revolutionary because they represented the first viable cryptographic schemes where security was based on the theory of numbers. It was the first to enable secure communication between two parties without a shared secret.\nCryptography went from being about securely transporting secret codebooks around the world to being able to have secure communication between any two parties without worrying about someone listening in on the key exchange.\nAfter the introduction of RSA and Diffie-Hellman, researchers explored other mathematics-based cryptographic solutions looking for other algorithms beyond factoring that would serve as good Trapdoor Functions.\nIn 1985, cryptographic algorithms were proposed based on an esoteric branch of mathematics called elliptic curves.\nAn elliptic curve is the set of points that satisfy a specific mathematical equation, something that looks a bit like the Lululemon logo tipped on its side.\nThere are other representations of elliptic curves, but technically an elliptic curve is the set points satisfying an equation in two variables with degree two in one of the variables and three in the other. An elliptic curve has some properties that make it a good setting for cryptography.\nNeal Koblitz and Victor Miller independently co-discovered elliptic-curve cryptography which is part of the mathematics that allows encrypted communication on the internet today.\nIn an interview with All About Circuits (AAC) in 2019, Dr. Koblitz said:\n\"What changed my feeling about number theory was the invention of RSA cryptography (Rivest-Shamir-Adleman) in about 1977. That was the first important application of number theory to computer security.\"\n\"The idea of elliptic-curve cryptography came in 1984. I, along with several other people received a pre-print, a rather preliminary-version, of an algorithm that Hendrik Lenstra developed to factor large integer numbers. If this algorithm was sufficiently fast, it could be a threat to RSA cryptography. \"\nElliptic Curve Cryptography (ECC)\nDecember 12, 2023\nHow was your experience?\nGive this wiki a quick rating to let us know!", "domain": "mathematics"} {"url": "https://homesteepedhope.com/2010/09/", "date": "2023-06-04T00:58:24Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224649348.41/warc/CC-MAIN-20230603233121-20230604023121-00565.warc.gz", "language_score": 0.9021910429000854, "token_count": 486, "dump": "CC-MAIN-2023-23", "global_id": "webtext-fineweb__CC-MAIN-2023-23__0__72607778", "lang": "en", "text": "Ever wonder which fraction problems need inverted and multiplied, or which ones call for finding the least common denominator before you can do anything else? Keeping track of the procedures used for adding, subtracting, multiplying and dividing these fractions can be tricky for grade schoolers (and their parents!). Here’s some help!\nBut first a plug! We love our Professor B Math! It’s a contextual way to learn all aspects of math from a practical viewpoint in the least amount of time possible, and at your own pace. In spite of being a straight A student, I never learned math this way in grade school…and consequently, I feel like it’s finally making sense to me these past few years of teaching Professor B’s methods to my children.\nSo my daughter is learning ALLLL about fractions and we got the coolest fraction “tips” in today’s lesson.\nHere you go for the next time your child is stumped as to which procedure to use for which fractional operation…\nKnow the code:\nf=fraction, MN=mixed number, LCD=least common denominator\nWhen the first formula says “f+f = LCD then add” it’s a short hand way of saying: “fraction plus fraction equals finding the least common denominator, then adding the fractions”…\nOkay…for the formulas:\n- f+f=LCD then add\n- f-f=LCD then subtract\n- fxf=reduce (if possible), then multiply across\n- f (divided by) f=invert and multiply\n- MN+MN=LCD then add\n- MN-MN=LCD then subtract\n- MNxMN=set up fraction, then multiply fraction\n- MN (divided by) MN=set up fraction then divide by fraction\nIf you drill your children on these formulas, and keep a “cheat sheet” taped to the inside of their mathbooks, eventually they won’t have to think very hard about which formula applies to their various fraction pursuits!\nGotta love it!\nProfessor B says whatever you do, if you learn your fractions backwards and forwards algebra will be a lot less intimidating!\nHope this helps some harried mom out there with her child’s homework!", "domain": "mathematics"} {"url": "http://www.solar4stem.com/store/p7/Dial_Gauge_Angle_Finder.html", "date": "2023-09-28T08:44:34Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233510368.33/warc/CC-MAIN-20230928063033-20230928093033-00256.warc.gz", "language_score": 0.8572167754173279, "token_count": 204, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__262432557", "lang": "en", "text": "Dial Gauge Angle Finder\nThis Dial gauge angle finder can be used to measure the angle of the surface of an object with respect to the horizon. The weighted needle always points up, perpendicular to the horizon, while the side of the angle finder is held against the surface to be measured. The angle of the solar panels aimed at the sun is measured with the angle finder.\n- Dial gauge angle measurements\n- Measures angle from the horizon\n- Measures 0 to 90 degrees\n- Accuracy of 0.5 degrees\nMake STEM Fun & Easy!\nLocated in Pinellas Park, FL, solar4STEM has been providing parents and educators interactive STEM kits to keep kids engaged. Let us help you make STEM fun & easy with hands-on experiments!\n3845 Gateway Centre Blvd.,\nPinellas Park, FL 33782", "domain": "mathematics"} {"url": "http://www.thisisnotahoax.com/", "date": "2020-01-18T01:58:24Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-05/segments/1579250591431.4/warc/CC-MAIN-20200117234621-20200118022621-00320.warc.gz", "language_score": 0.8536052703857422, "token_count": 155, "dump": "CC-MAIN-2020-05", "global_id": "webtext-fineweb__CC-MAIN-2020-05__0__88385392", "lang": "en", "text": "A car accelerates uniformly from rest to 20 m/s in 5 seconds. Determine the acceleration of the car and the distance traveled.\nFirst, you calculate the acceleration by subtracting the initial velocity from the final velocity and then dividing by the time.\nvf - vi = 20 - 0 = 20 m/s\na = 20 / t = 20 / 5 = 4 m/s^2\nNext, you calculate the displacement by multiplying the initial velocity by the time and adding that to the product of one-half times the acceleration times the time squared.\nd = (vi * t) + (.5 * a * t^2)\nd = (0 * 5) + (.5 * 4 * 5^2) = 50 m", "domain": "mathematics"} {"url": "https://www.plumcroftprimary.co.uk/page/?title=Year+1&pid=25", "date": "2020-09-24T02:25:28Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-40/segments/1600400213006.47/warc/CC-MAIN-20200924002749-20200924032749-00734.warc.gz", "language_score": 0.9233058094978333, "token_count": 455, "dump": "CC-MAIN-2020-40", "global_id": "webtext-fineweb__CC-MAIN-2020-40__0__241843799", "lang": "en", "text": "Our topic this term is called ‘Toys’. We will be using a variety of fiction texts as our stimulus: Benjamin Boo, Brown Paper Bear, Here Comes Traction Man and Toys in Space. The children will be writing labels and captions, story writing and producing instructions and information pages related to these books and to toys they’ve looked at or made.\nOur topic will be linked to the books we are reading and using in our literacy lessons.\nIn art we will be making junk model aliens and ‘cuddly’ alien toys. In science we will be looking at materials that float and sink; we will be discovering the best materials to use for a mini parachute; we will also be looking at friction and gravity. In history the children will be finding out how the materials used in toys have changed over time; the children will also make old fashioned peg dolls (with a super hero twist!) and thread spinners. We will be taking part in a toy workshop where the children will have the opportunities to play with Victorian and Edwardian toys.\nThis term the children will be consolidating the core number concepts learned in Reception. This includes counting on from any number, finding one more or one less than a number to 20 and solving one-step addition and subtraction questions. We will also begin learn how to count in multiples of 2, 5 and 10 (we will use counting songs from YouTube).\nWe will continue to learn about - and explore – shapes. The children will revise the names and properties of common 2D shapes; they will also learn about 3D shapes and their properties. In addition the children will learn how to describe direction, movement and position.\nYour child will need to wear the following kit which should be kept in school throughout this half term: light blue t-shirt, black shorts and plimsolls or trainers. The t-shirt will be provided by the school.\nPE days are as follows:\n1H - Tuesday morning\n1N - Wednesday morning\n1C - Thursday Morning\n1M (VR) - Tuesday Afternoon\n1W (VR) - Wednesday Afternoon\nHome reading books will be changed on your child's PE day.", "domain": "mathematics"} {"url": "https://www.eourmart.com/blogs/news/understanding-the-difference-between-a-normal-calculator-and-a-scientific-calculator", "date": "2024-04-15T12:57:31Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296816977.38/warc/CC-MAIN-20240415111434-20240415141434-00797.warc.gz", "language_score": 0.8937276005744934, "token_count": 605, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__112501977", "lang": "en", "text": "A normal calculator, often referred to as a basic calculator or pocket calculator, is a simple device designed primarily for performing fundamental arithmetic operations. Here are the key characteristics of a normal calculator:\n- Arithmetic Functions: A normal calculator can handle basic arithmetic functions, including addition, subtraction, multiplication, and division. It's ideal for everyday calculations like balancing your checkbook, calculating tips, or solving simple math problems.\n- Limited Functions: Normal calculators typically have a limited set of functions and buttons. You'll find keys for numbers, basic operations (+, -, *, /), and possibly a percentage key.\n- Compact and Portable: These calculators are compact, lightweight, and easy to carry around. They are battery-powered and fit easily in a pocket or purse.\n- Affordable: Normal calculators are inexpensive and readily available. They are suitable for everyday use and are widely used in schools and offices.\nA scientific calculator is a more advanced and versatile tool designed for complex mathematical and scientific calculations. Here's what sets it apart from a normal calculator:\n- Advanced Functions: Scientific calculators are equipped with a wide range of functions beyond basic arithmetic. They can handle trigonometric functions (sin, cos, tan), logarithms, exponentiation, square roots, and more. These functions are essential for students and professionals in fields like mathematics, engineering, and science.\n- Multi-line Display: Scientific calculators typically feature a multi-line display that allows users to see both the input and the result simultaneously. This is incredibly useful for tracking complex calculations.\n- Constants and Variables: Scientific calculators often provide the ability to work with constants and variables, making them indispensable for solving algebraic equations and scientific problems.\n- Programmable Features: Some high-end scientific calculators offer programmable functions, allowing users to create custom calculations and formulas. This is particularly useful in research and engineering.\n- Notation Modes: Scientific calculators may support different notation modes, including degrees and radians, to accommodate various mathematical conventions.\nWhen to Use Each Calculator:\nNormal Calculator: Use a normal calculator for basic everyday math, such as addition, subtraction, multiplication, and division. It's perfect for quick calculations where advanced functions aren't necessary.\nScientific Calculator: Opt for a scientific calculator when you need to perform more complex mathematical or scientific calculations. These are invaluable tools for students, engineers, scientists, and professionals working with advanced mathematics.\nIn summary, normal calculators and scientific calculators serve different purposes, with the latter offering an array of advanced functions tailored to scientific and mathematical applications. Choosing the right calculator depends on your specific needs, so be sure to consider the complexity of your calculations before making your selection. Whether you need a basic calculator for simple math or a scientific calculator for advanced calculations, having the right tool on hand can make a world of difference in your work or studies.", "domain": "mathematics"} {"url": "http://globaledgebet.com/index.php/positive-odds-edge/", "date": "2019-05-19T18:51:56Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-22/segments/1558232255092.55/warc/CC-MAIN-20190519181530-20190519203530-00318.warc.gz", "language_score": 0.9769598841667175, "token_count": 179, "dump": "CC-MAIN-2019-22", "global_id": "webtext-fineweb__CC-MAIN-2019-22__0__150477116", "lang": "en", "text": "Trading in the Global Sports Betting Market\nIf bets were placed on the toss of a coin, the probability of heads is 50 %, the probability of tails is 50%. Regarding bookmaker decimal odds, 50% probability is expressed as odds of 2.0. Which means that if bets were continuously placed on either heads or tails at odds of 2.0, over the long term the bettors’ bankroll would break even.\nHowever, if odds of 2.2 were available from the market, the odds of 2.2 are miss-priced as they are greater than 2, which means a real odds edge is available. The correctly priced odds are 2 which is a probability of 50%, odds of 2.2 is a probability of 45.5%, which means a real odds edge of +4.5% (50% – 45.5%) exists.", "domain": "mathematics"} {"url": "https://thesuperengineer.com/mathematical-modeling-engineer/", "date": "2023-12-02T04:21:47Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100327.70/warc/CC-MAIN-20231202042052-20231202072052-00258.warc.gz", "language_score": 0.9034157395362854, "token_count": 965, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__36579057", "lang": "en", "text": "Mathematical Modeling Engineer\nUnravel Complexity and Drive Efficiency with Our Mathematical Modeling Engineer\nIn the ever-evolving landscape of engineering, one tool has emerged as a driving force behind innovation and efficiency – mathematical modeling. At the intersection of abstract mathematical concepts and real-world engineering challenges, our Mathematical Modeling Engineer operates, providing solutions that illuminate complex problems and revolutionize decision-making processes.\nWho is a Mathematical Modeling Engineer?\nA Mathematical Modeling Engineer employs mathematical methods and theories to develop models that mirror real-world engineering systems, scenarios, or phenomena. This unique approach transcends empirical observation, unveiling intricate dynamics, predicting outcomes, and informing strategic decisions.\nHow Our Mathematical Modeling Engineer Can Benefit Your Business:\n- Reveal Complex Physical Problems in Engineering: With the power of mathematical modeling, complex engineering challenges are converted into solvable mathematical problems. By analyzing these models, our engineer can unravel intricate dynamics, discover underpinning principles, and generate solutions that might have remained obscured in a purely empirical approach.\n- Reduce Troubleshooting Costs: In engineering, troubleshooting can be a lengthy and expensive process. Mathematical modeling offers an efficient alternative. By simulating various scenarios or system configurations, our Mathematical Modeling Engineer can identify potential problems before they occur, saving time and reducing troubleshooting costs.\n- Accelerate R&D Processes: Mathematical models enable experimentation that would be too costly, time-consuming, or even impossible to conduct in the real world. By testing hypotheses and exploring system behavior in the mathematical realm, our engineer can expedite the R&D process, leading to faster innovation and lower costs.\nWhy Choose Our Mathematical Modeling Engineer?\nExpertise Across Domains:\nOur Mathematical Modeling Engineer brings a solid foundation in mathematics and a deep understanding of various engineering disciplines. This combination enables them to develop reliable and versatile models for a wide range of applications.\nAdvanced Tools and Techniques:\nEquipped with state-of-the-art mathematical software and advanced modeling techniques, our Mathematical Modeling Engineer delivers robust, accurate models that pave the way for efficient problem-solving and effective decision-making.\nHolistic Engineering Solutions:\nAs part of our comprehensive suite of engineering services, our Mathematical Modeling Engineer can collaborate with other specialists in our team, ensuring that you receive holistic solutions tailored to your unique engineering needs.\nWith extensive experience in applying mathematical modeling to real-world engineering problems, our engineer understands the nuances and complexities of various sectors, providing insights and solutions that are practically viable and impactful.\nOur Mathematical Modeling Engineer can help your business navigate complexity, improve efficiency, and accelerate innovation. Reach out to us today to discover how our Mathematical Modeling Engineer can transform your engineering challenges into strategic advantages.\nCase Study 1: Optimizing Production in Automotive Manufacturing\nBackground: An automotive manufacturer was seeking to optimize their production line to improve throughput and reduce costs.\nSolution: Our Mathematical Modeling Engineer developed a model simulating the entire production process, taking into account various factors such as machine speeds, setup times, worker schedules, and raw material availability. By manipulating these variables within the model, they identified an optimal configuration that increased throughput and minimized costs.\nResult: The company implemented the suggested changes and saw a 15% increase in production throughput and a significant reduction in operational costs.\nCase Study 2: Risk Mitigation in Renewable Energy Project\nBackground: A renewable energy company wanted to assess the financial viability and potential risks of a large-scale wind farm project.\nSolution: Our Mathematical Modeling Engineer built a comprehensive model incorporating factors like projected wind speeds, turbine efficiency, maintenance costs, and potential downtime. They were able to predict energy output, identify potential risks, and calculate projected returns.\nResult: Armed with this information, the company could make informed decisions about the project, balancing potential risks and returns. The project has since been successful, with performance closely matching the predictions from the mathematical model.\nCase Study 3: Reducing R&D Costs in Medical Devices\nBackground: A medical device company was developing a new product but wanted to reduce the time and costs associated with R&D.\nSolution: Our Mathematical Modeling Engineer created a model simulating the functionality of the device, allowing for extensive testing and refinement in a virtual environment. This approach significantly reduced the need for physical prototyping and testing.\nResult: The company was able to accelerate the development process, reduce R&D costs, and bring the product to market faster than traditionally possible.\nThese case studies demonstrate how our Mathematical Modeling Engineer can provide actionable insights across various sectors, driving efficiency, mitigating risks, and accelerating innovation.", "domain": "mathematics"} {"url": "https://modmomtv.com/texas-instruments-2-line-scientific-calculator-8-88-reg-17/", "date": "2023-04-02T02:33:11Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-14/segments/1679296950373.88/warc/CC-MAIN-20230402012805-20230402042805-00583.warc.gz", "language_score": 0.9092050790786743, "token_count": 138, "dump": "CC-MAIN-2023-14", "global_id": "webtext-fineweb__CC-MAIN-2023-14__0__279090581", "lang": "en", "text": "Get a jump start on back to school shopping and score this Texas Instruments 2-Line Scientific Calculator for only $8.88 (Reg. $17). If you have a high school student, you probably need this.\n- Robust, professional grade scientific calculator. Logs and antilogs\n- It has 2-line display shows entry and calculated result at same time\n- Easily handles 1 and 2 variable statistical calculations and three angle modes (degrees, radians, and grads) and scientific and engineering notation modes\n- It has 1-year limited warranty\n- The front of the calculator is black, the back cover is in fact a dark blue-gray", "domain": "mathematics"} {"url": "http://apptitudedevelopers.com/", "date": "2017-03-30T18:36:45Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2017-13/segments/1490218199514.53/warc/CC-MAIN-20170322212959-00228-ip-10-233-31-227.ec2.internal.warc.gz", "language_score": 0.9230731725692749, "token_count": 326, "dump": "CC-MAIN-2017-13", "global_id": "webtext-fineweb__CC-MAIN-2017-13__0__76110359", "lang": "en", "text": "04/28/2011: JUMPIN' MATH JAM FREE has just been released! It is a free ad supported trial version of JUMPIN' MATH JAM, but includes only addition and multiplication. Give it a try!\n04/12/2011:Get a preview of JUMPIN' MATH JAM on YOUTUBE! You can learn how the game works, discover features, and determine if this app is right for you!\n04/09/2011: JUMPIN' MATH JAM USERS: Thank you very much for your positive feedback!\nv1.1 Has just been released in response to your requests for new features! Check it out on the Android Market!\nAPPTITUDE DEVELOPERS is pleased to announce the launch of its first mobile application for the Android platform, JUMPIN' MATH JAM!\nJUMPIN' MATH JAM is a really fun way to practice addition, subtraction, multiplication, and division facts as you (a frog) try to beat the turtle in a race to the next level. It's a fun game that's more entertaining than math flash cards, and can be quite addictive! For 5th graders and older, the \"random\" mode is recommended as it takes you through all operations up to the 12's tables. For earlier elementary students, focusing on just one operation at a time can help reinforce skills. As you go through the levels, the game moves faster and faster! JUMPIN' MATH JAM can be found in the Android Marketplace.", "domain": "mathematics"} {"url": "https://945wpti.iheart.com/content/2022-05-10-north-carolina-mans-love-of-math-wins-him-major-lottery-prize/", "date": "2022-07-03T12:14:00Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-27/segments/1656104240553.67/warc/CC-MAIN-20220703104037-20220703134037-00082.warc.gz", "language_score": 0.9924407601356506, "token_count": 357, "dump": "CC-MAIN-2022-27", "global_id": "webtext-fineweb__CC-MAIN-2022-27__0__206557072", "lang": "en", "text": "A North Carolina man's love for math ending up winning him more than just good grades in school — he was the lucky winner of a nearly $200,000 lottery jackpot.\nJonathan Ruby, of Raleigh, recently tried his luck in the Cash 5 lottery games, purchased a $1 ticket from the Han-Dee Hugo's on Hillsborough Street for the Nov. 28 drawing, according to a release from the NC Education Lottery. The lover of math used a well known number — pi, or 3.1415 — to choose his ticket, a move that ended up winning him a third of the $578,823 jackpot, splitting the prize with two other lucky winners.\n\"I've always been an extremely big math person,\" said Ruby. \"I picked my numbers based on pi.\"\nRuby told lottery officials that the lucky sequence has shown up in different ways throughout his life, so he took it as a sign to get his ticket.\n\"I kept seeing that number so my karma told me to use it,\" he said. \"I even lived at a 314 address as a child.\"\nRuby had a good feeling about his ticket, sure that he had won something, but it wasn't until later that he realized just how lucky he was.\n\"I thought I won a dollar or two,\" Ruby said. \"I was calm until I got home and checked the numbers and then I got very excited.\"\nRuby claimed his $192,941 jackpot at lottery headquarters on Monday (May 9), bringing home a total of $137,012 after taxes. When asked what he plans to do with his prize, the 64-year-old bartender told lottery officials he plans to pay some bill and save the rest for retirement.", "domain": "mathematics"} {"url": "https://ivaschool.online/?tcb_lightbox=testimonial3", "date": "2022-08-19T17:53:45Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-33/segments/1659882573744.90/warc/CC-MAIN-20220819161440-20220819191440-00759.warc.gz", "language_score": 0.9683572053909302, "token_count": 424, "dump": "CC-MAIN-2022-33", "global_id": "webtext-fineweb__CC-MAIN-2022-33__0__45934598", "lang": "en", "text": "Mr. Luis was my mathematics teacher throughout my matriculation at the Oprah Winfrey Leadership Academy for Girls (OWLAG). I entered OWLAG from amongst the most under-resourced primary schools of my admission class. This meant that I was both at a relative academic disadvantage while being newly inducted to the level of academic rigour of a private South African high school. With all the odds stacked against me, I graduated high school as one the top students in mathematics and valedictorian of my class, and Mr. Luis was undoubtedly paramount in my ability to achieve this feat.\nThroughout my time at OWLAG, Mr. Luis was committed to excellence in education and had the unshakeable belief in any students’ ability to grasp mathematics given a teacher who is skilled at playing to their students’ strengths while cognisant of areas that pose a challenge for them. He embodied this commitment and belief through relentless and tireless help and support, going as far as giving up his weekday afternoons and Saturdays spending countless hours giving extra review classes and helping me and my class keep up with the increased pace in mathematics he introduced because he envisioned us performing at the level of some of South Africa’s best schools, despite our backgrounds.\nAlmost ten years later, and having graduated salutatorian of my undergraduate class pursuing a BS in Biology at Spelman College in Atlanta; earned a MSc in Medical Anthropology at the University of Oxford in the UK and currently pursuing a medical degree at Stanford University in California, Mr. Luis remains one of the best teachers I have ever had. His love for mathematics (and teaching) remains unmatched. He always finds innovative ways of teaching and making mathematics instinctive. I know I speak for many of my OWLAG peers when I say, he created an engaging and fun learning environment that made an infamously hard subject rather enjoyable. Whether it was to travel the world or be the next world’s best mathematicians, we always left his classes feeling incredibly inspired.\nPast Student Of John Luis", "domain": "mathematics"} {"url": "https://www.kingethelbert.com/curriculum/subject-information/mathematics", "date": "2023-03-21T00:40:24Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-14/segments/1679296943589.10/warc/CC-MAIN-20230321002050-20230321032050-00211.warc.gz", "language_score": 0.9586093425750732, "token_count": 1327, "dump": "CC-MAIN-2023-14", "global_id": "webtext-fineweb__CC-MAIN-2023-14__0__132192220", "lang": "en", "text": "In the Maths department we aim to embed the whole school curriculum intent, through and beyond our curriculum. We do these in line with the three principles across the school.\n|Globally Diverse||Ambitious for the Future||Inquisitive Learners|\nIn Maths we aim to raise awareness around the following financial topics through the mathematics students learn:\nIn Maths we also aim to raise awareness of how mathematics can be used to mislead, Teachers identify this through:\nStudents are introduced to famous mathematicians around the world and their contributions to the mathematics we study today.\nIn Maths we strive to ensure that all students are numerate by the end of Key Stage 3. We aim to end the phrase ‘I can’t do maths’ by developing confidence and instilling a growth mindset in all our students.\nWe regularly raise awareness of different professions relating to maths and identifying possible ways where students will require maths in future careers.\nWe regularly set homework to promote self study and organisation.\nWe hold regular revision sessions to support independent study. Pupils also have the opportunity to purchase revision resources to help support them in their independent studies.\nThe mathematics department provides opportunities for students to explore their knowledge and face challenges. Previous opportunities provided include UKMT team challenges, the British Museum, Faraday Challenge and Thorpe Park.\nAt KS5 pupils are taught the applications and interpretations IB mathematics course; this encourages students to further develop their understanding through investigations and applying these to real life. Students currently have the opportunity to study this at both standard and higher level\nThere is a large focus in the mathematics curriculum towards problem solving. Staff work with students to develop the resilience and critical thinking skills to break down larger problems into smaller more manageable ones. These are often also taught through real life applications\nIn all Key Stages students are introduced to different careers in mathematics in lessons and as part of careers week within the school.\nThe mathematics department are passionate about the subject they teach and want all pupils to share this passion.\nOur curriculum develops problem solving skills and provides students with the opportunity to make connections. They will develop their mathematical communication both verbally and in written work. Students will develop resilience, independence and take ownership of their learning through rich open tasks and research based learning.\nWe want to ensure that students take pride in their work. Presentation is key to showing good mathematics with logic and organised thought. Students will critically evaluate their own work and develop their previous learning through encouragement of reflections, reviewing and correcting.\nWe want pupils to leave KS4 with the skills to continue studying maths at KS5 and beyond.\nOur schemes of learning in all Key Stages develops mastery of skills and will develop links to other subjects. Students will develop a greater depth to their knowledge and be able to apply this to various contexts. They will also better develop their vocabulary with subject specific words.\nThe mathematics curriculum is a spiralling curriculum allowing students to revisit and build on their knowledge developing the idea that we can always further our knowledge and understanding of different topics. Especially as they mature and their prioritise for studies change depending on their choices for their future.\nIn key stage 3, we have a mastery curriculum, allowing students to develop both fluency and understanding. They build on their knowledge, developing the idea that we can always further our knowledge and understanding of different topics. We use rich open tasks, developing resilience, independence and ownership of learning. Clear written communication and presentation is promoted which students can use in all aspects of their learning. During ‘Maths Week’, students have the opportunity for self-discovery, particularly in Year 8 when they investigate Pythagoras’ Theorem.\nWe use rich and open ended tasks which allow students to discover their own insights and apply to the real world. This helps with resilience and problem solving too. We regularly set homework to promote self study and organisation.\nThe Mathematics department provides opportunities for students to explore their knowledge and face challenges. Previous opportunities provided include UKMT team challenges, the Maths Feast, the British Museum, Bletchley Park, Faraday Challenge and Thorpe Park.\nWe have an annual ‘Maths Week’ which presents maths in real life and problem solving situations to help students make links between the subject and their everyday life. In addition, Year 7 considers estimating as it is a vital skill in budgeting and financial mathematical fluency.\nWe teach about best buys through ratio in Year 8, so students can understand value for money. Class discussions give students the opportunity to build listening skills and mutual respect. Investigations ask students to share responsibility with others and work collaboratively. Students are asked to reflect upon their own learning, to further understand and develop their learning journey.\nIn key stage 4 students study the GCSE Mathematics course, we have designed our curriculum so topics are interwoven and further develop mastery, problem solving and resilience, leading to independent learners who take ownership of their own learning. Students also have the opportunity to make greater connections between subjects and develop their own learning. Statistics GCSE for our most able students gives the opportunity for critical thinking and real life applications for their learning by forcing justification behind answers, spotting misleading information and understanding/arguing different points of view. We teach financial maths such as compound interest, depreciation, loans and mortgages. Through work on representing and analysing data, students begin to think critically about information that is presented to them as well as being exposed to situations where data may be misleading.\nSome students also pursue GCSE Statistics which allows students to become better critical learners, looking further than the initial data or information to understand the situation. We continue setting regular homework to promote self study and organisation.\nIn key stage 5 students can study IB Mathematics Applications and Interpretation, through this course we continue to develop students' independence of study. The introduction of IB mathematics gives more opportunities for application of mathematics and real life scenarios. The Internal Assessment stretches students beyond the outlined curriculum, giving opportunities for personal investigation. The course also encourages students to further develop their understanding through investigations and applying these to real life.\nWe continue to develop students’ independence with the introduction of the internal assessment. Firm deadlines are introduced which compel students to manage their time. Students are given the opportunity to teach each other, becoming responsible for others' learning as well as their own. In this scenario, students use their presentation and pupil speaking skills as well as ensuring they are prepared in a timely manner.", "domain": "mathematics"} {"url": "https://jacobsfoundation.org/fellows/jacobs-foundation-research-fellowship-en/darko-odic/", "date": "2024-03-04T05:33:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947476413.82/warc/CC-MAIN-20240304033910-20240304063910-00348.warc.gz", "language_score": 0.9403660297393799, "token_count": 567, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__13529914", "lang": "en", "text": "Darko Odic’s research examines how children acquire abstract cognitive and perceptual representations, including those of number, confidence, and mathematical thought. By examining individual and developmental differences in, for example, how children’s earliest intuitions about number inform their formal math abilities, he seeks to understand why children sometimes learn complex ideas with ease, and sometimes struggle.\nMy plans for the fellowship period\nTo learn, we must make mistakes. But mistakes are only useful when they are noticed, evaluated, and corrected. When learning mathematics, a topic particularly challenging for many children around the world, “error monitoring” is especially important: math problems often require one answer in a sea of (literally) infinite possibilities. Unlike learning about gravity through building blocks, math problems do not physically fall down when a mistake is made; unlike learning social skills, math problems don’t flash with moments of anger or joy; unlike reading, math mistakes do not lead to meaningless strings of words.\nDuring the Fellowship period, I will be investigating one potential mechanism for how children catch errors in mathematics: by using their intuitive (but approximate) sense of number. We hypothesize that young children use their intuitive number system to arrive at a probabilistic prediction of the likely answer for a simple equation and therefore catch when they are likely to have made a mistake. We have recently shown that differences in children’s number sense correlate with detecting math mistakes made by others. Over the next 2-4 years my lab plans to: (1) use pupillometric measures to measure the degree of surprise children experience when catching mistakes in mathematics; (2) temporarily enhance or impair children’s intuitive number sense and observe the effects this has on their error monitoring; and (3) train children to actively make predictions about the outcomes of math problems to increase the chance of catching and learning from mistakes. I aim to provide both a mechanistic understanding of how core cognition contributes to formal concepts and to characterize why some children are more successful at learning about math compared to others.\nHow will my work change children’s and youth’s lives?\nMy research focuses on children’s early mathematical abilities, which have consistently been shown to predict later school and job success, income level, happiness, and personal health. It will help identify mechanisms that allow children to be more independent, effective, and self-efficacious learners, ultimately informing educators on how children can learn complex topics with minimal external feedback. The current proposal, therefore, helps identify the conditions and skills that children should ideally maximize to deepen their development and ability to contribute to society. And, because the intuitive number sense is present in every child from birth, this work also has important universal implications, and seems to promote education initiatives across traditional cultural and economic divides.", "domain": "mathematics"} {"url": "http://draketechnologies.com/LoadQAce.php3?r=qAceGreen&f=/Calculators/Retirement.htm&l=", "date": "2013-05-20T05:20:15Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2013-20/segments/1368698354227/warc/CC-MAIN-20130516095914-00005-ip-10-60-113-184.ec2.internal.warc.gz", "language_score": 0.9228341579437256, "token_count": 175, "dump": "CC-MAIN-2013-20", "global_id": "webtext-fineweb__CC-MAIN-2013-20__0__150047742", "lang": "en", "text": "Use this calculator to compute how much you would need to have invested in order to withdraw a specified amount each year over the course of a specified period of time. For example, if you want to be able to withdraw $500 during each month of your expected 20-year retirement, this calculator will tell you that if you expect to earn a 10% interest rate you will need to have $51,812.30 saved up by the time you retire. This is often referred to as \"Present Value of an Annuity\" analysis.\nThis is a hypothetical example used for illustrative purposes only and does not represent the return of any specific investment. Actual rates of return will vary over time; particularly for long-term investments.\nTo compute the Present Value of an Annuity, fill in the first three text boxes and then click the \"compute\" button.", "domain": "mathematics"} {"url": "https://oxfordshireteachertraining.co.uk/blog/episode-30-in-this-episode-of-the-oxfordshire-teacher-training-podcast-matthew-coatsworth-discusses-the-wonderful-work-of-the-ncetm-the-national-centre-for-excellence-in-the-teaching-of-mathemati/", "date": "2022-06-28T23:42:21Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-27/segments/1656103619185.32/warc/CC-MAIN-20220628233925-20220629023925-00286.warc.gz", "language_score": 0.9219198226928711, "token_count": 237, "dump": "CC-MAIN-2022-27", "global_id": "webtext-fineweb__CC-MAIN-2022-27__0__40634433", "lang": "en", "text": "In this episode of the Oxfordshire Teacher Training podcast, Matthew Coatsworth discusses the wonderful work of the NCETM – the National Centre for Excellence in the Teaching of Mathematics – with NCETM Professional Development Leads and Oxfordshire Teacher Training Mentors Claire Shorrock and Crispin Hoad. Claire and Crispin outline some of the key work of the NCETM, the BBO Maths Hub, Teaching for Maths Mastery and the five big ideas, as well as how to cater for the wide variation of mathematical ability within classes and how to adapt teaching effectively.\nPlease note that this episode was recorded remotely and unfortunately the sound quality from Claire’s device is a little distorted. We hope it does not affect your listening too much!\nLinks to resources mentioned in the podcast:\n(Bucks, Berks and Oxon Maths Hub)\n(KS3 Subject Audits)", "domain": "mathematics"} {"url": "https://eduebookstore.com/product/a-first-course-in-probability-9th-edition-by-sheldon-ross-isbn-13-978-0321794772-2/", "date": "2023-03-30T13:49:32Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-14/segments/1679296949331.26/warc/CC-MAIN-20230330132508-20230330162508-00228.warc.gz", "language_score": 0.9107965230941772, "token_count": 779, "dump": "CC-MAIN-2023-14", "global_id": "webtext-fineweb__CC-MAIN-2023-14__0__170050464", "lang": "en", "text": "A First Course in Probability 9th Edition by Sheldon Ross, ISBN-13: 978-0321794772\n[PDF eBook eTextbook]\n- Publisher: Pearson; 9th edition (December 21, 2012)\n- Language: English\n- 480 pages\n- ISBN-10: 032179477X\n- ISBN-13: 978-0321794772\nThis book is intended as an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences (including computer science, biology, the social sciences, and management science) who possess the prerequisite knowledge of elementary calculus. It attempts to present not only the mathematics of probability theory, but also, through numerous examples, the many diverse possible applications of this subject.\nContent and Course Planning\nChapter 1 presents the basic principles of combinatorial analysis, which are most useful in computing probabilities.\nChapter 2 handles the axioms of probability theory and shows how they can be applied to compute various probabilities of interest.\nChapter 3 deals with the extremely important subjects of conditional probability and independence of events. By a series of examples, we illustrate how conditional probabilities come into play not only when some partial information is available, but also as a tool to enable us to compute probabilities more easily, even when no partial information is present. This extremely important technique of obtaining probabilities by “conditioning” reappears in Chapter 7, where we use it to obtain expectations.\nThe concept of random variables is introduced in Chapters 4, 5, and 6. Discrete random variables are dealt with in Chapter 4, continuous random variables in Chapter 5, and jointly distributed random variables in Chapter 6. The important concepts of the expected value and the variance of a random variable are introduced in Chapters 4 and 5, and these quantities are then determined for many of the common types of random variables.\nAdditional properties of the expected value are considered in Chapter 7. Many examples illustrating the usefulness of the result that the expected value of a sum of random variables is equal to the sum of their expected values are presented. Sections on conditional expectation, including its use in prediction, and on momentgenerating functions are contained in this chapter. In addition, the final section introduces the multivariate normal distribution and presents a simple proof concerning the joint distribution of the sample mean and sample variance of a sample from a normal distribution.\nChapter 8 presents the major theoretical results of probability theory. In particular, we prove the strong law of large numbers and the central limit theorem. Our proof of the strong law is a relatively simple one that assumes that the random variables have a finite fourth moment, and our proof of the central limit theorem assumes Levy’s continuity theorem. This chapter also presents such probability inequalities as Markov’s inequality, Chebyshev’s inequality, and Chernoff bounds. The final section of Chapter 8 gives a bound on the error involved when a probability concerning a sum of independent Bernoulli random variables is approximated by the corresponding probability of a Poisson random variable having the same expected value.\nChapter 9 presents some additional topics, such as Markov chains, the Poisson process, and an introduction to information and coding theory, and Chapter 10 considers simulation.\nAs in the previous edition, three sets of exercises are given at the end of each chapter. They are designated as Problems, Theoretical Exercises, and Self-Test Problems and Exercises. This last set of exercises, for which complete solutions appear in Solutions to Self-Test Problems and Exercises, is designed to help students test their comprehension and study for exams.\nWhat makes us different?\n• Instant Download\n• Always Competitive Pricing\n• 100% Privacy\n• FREE Sample Available\n• 24-7 LIVE Customer Support\nThere are no reviews yet.", "domain": "mathematics"} {"url": "https://holtville.ech.schoolinsites.com/lyndee_antley", "date": "2022-10-07T22:52:10Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-40/segments/1664030338280.51/warc/CC-MAIN-20221007210452-20221008000452-00077.warc.gz", "language_score": 0.9750203490257263, "token_count": 189, "dump": "CC-MAIN-2022-40", "global_id": "webtext-fineweb__CC-MAIN-2022-40__0__138954679", "lang": "en", "text": "I am a native Slapoutian and a third generation graduate of Holtville High School. I am married to Casey Antley who is also a graduate of Holtville High School. We have a daughter, Scarlett, and three large fur babies. My husband and I both take a lot of pride in our school and our community.\nI graduated from Holtville in 2009 and went on to AUM where I graduated in 2014 with my degree in Secondary Education - Mathematics. Recently, I returned to AUM where I completed my Masters in Math Education. After college, I spent a year teaching 7th grade math at Eclectic Middle School before returning \"home\" to HHS in 2016. I have been teaching math here at HHS ever since. I love math and I hope to pass on my love for the subject to my students.\nPlease feel free to contact me at anytime if there is anything I can do to help your student succeed!", "domain": "mathematics"} {"url": "http://mrsquitt.weebly.com/blog/week-of-may-4-2015", "date": "2023-12-11T06:50:45Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679103558.93/warc/CC-MAIN-20231211045204-20231211075204-00643.warc.gz", "language_score": 0.9316124320030212, "token_count": 394, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__132123025", "lang": "en", "text": "Summer Curriculum Correspondence\nIt is already that time of the year to start thinking about the summer. It is vital that each student retains and even improves academic skills during the summer weeks. The jump to third grade is a very significant one.\nIf your student participates in the Summer Correspondence program, each week for 6 weeks during the summer, your student will receive a packet to help him/her maintain grade level skills. If they finish all of the packets and return the completed cover sheet when school restarts in August, they earn a recognition.\nIf you would like your student to participate in this summer's Curriculum Correspondence program, please send in six (6) number 10 (that's legal sized) envelopes. Each envelope must have postage affixed. Each envelope must have your mailing address and your student's name. Each envelope should have your mailing address as the return address. Turn the envelopes in to your child's teacher.\nWe are starting Unit 7, Arrays, Partitioned Rectangles, and Equal Shares, this week. Please see the informational letter sent home on Monday for more specific info.\nIn this unit, students should be able to arrange items in rectangular arrays and partition rectangles into equal shares. Use the paper Square-Inch Tiles sent home Monday for practice.\nStudents should be able to:\n• easily identify and know the difference between columns and rows\n• measure a rectangle and draw lines to partition it into square centimeters or square inches\n• partition a rectangular array into halves, thirds, and fourths\n• partition a rectangular array by measuring in square centimeters or square inches\n• fold a circle to make equal halves and fourths\n• fold a rectangle into equal halves, thirds, and fourths in different ways\n• solve word problems involving lengths\n• use a number line diagram to add and subtract within 100\n• calculate the perimeter (distance around) of a shape", "domain": "mathematics"} {"url": "https://mehtaplus.medium.com/perpetual-learning-our-journey-with-math-kangaroo-bb77135332b6", "date": "2023-10-04T06:53:19Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233511361.38/warc/CC-MAIN-20231004052258-20231004082258-00416.warc.gz", "language_score": 0.9820449352264404, "token_count": 1200, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__165386027", "lang": "en", "text": "By Haripriya Mehta, Co-founder of MehtA+\nWhen the CEO of Math Kangaroo USA, Ms. Joanna asked if MehtA+ would be interested in sponsoring 3000+ digital kits for the 2021 Math Kangaroo competition, without a moment of hesitation, I said yes.\nMy brother (and the other co-founder of MehtA+) and I had participated in Math Kangaroo since elementary school. I had placed in the top 10 nationally twice and my brother received 1st place internationally twice in high school with a perfect score besides placing top 10 nationally several other times! And while winning and receiving an award, a certificate and a medal were exciting, there was much greater joy in learning and strengthening our mathematical and logic skills as we prepared for and took the Math Kangaroo test. The skills we learned during Math Kangaroo preparation helped me succeed at MIT and my brother at Stanford where we majored in electrical engineering and computer science.\nEven so, we wanted our digital kits to be special for the top 10 winners in grades 1–5, which they would be receiving in addition to a certificate from Math Kangaroo. After all, it had been a difficult year with the ongoing pandemic and we wanted to create something that students would be looking forward to. We didn’t have any budget because all of the instructors in our organization are current university students or recent alumni. But, inspired by Math Kangaroo’s volunteers such as Ms. Grazyna, a longtime volunteer of my hometown’s Math Kangaroo chapter, who have dedicated their lives to facilitating this math competition, MehtA+ instructors were absolutely ready to volunteer their time to design a memorable prize!\nDesigning a prize was definitely a challenging feat. MehtA+’s target demographic for camps, workshops, tutoring and consulting services are middle and high school students so we were not sure what elementary-aged students would like. We also did not want it to be a completely digital prize because it is often more exciting to play with a physical prize. More importantly, we had heard from a lot of grownups that they did not want their students to be looking at their computer screens any more than they needed to, since students had been looking at screens non-stop throughout the virtual school year.\nThen, one fine morning, as I was cleaning my room, inspiration struck. A little kangaroo stuffed animal fell out of my bookshelf. This was a kangaroo I had won in Math Kangaroo as an elementary student. I remember how much I had cherished it and kept it ever since. This is what the elementary students would love. MehtA+ instructors could teach elementary school students how to create their own paper model of a kangaroo, while learning principles of mechanical engineering and design.\nI enjoyed the MehtA+ Digital Kit. It was fun to assemble and is a great decoration for my study area!\nI hurriedly called our Product Lead and instructor, Ms. Marwa who had completed her undergraduate studies in mechanical engineering at MIT, if she could design such a kit. She gladly agreed despite her busy schedule — she was reaching out to labs for her PhD program in Mechanical Engineering at MIT, which she was to begin a couple of months later. She was also fasting as it was Ramadan!\nMs. Marwa first took the Math Kangaroo logo and vectorized it. She exported the file to DXF format so she could create a 3-D model of the kangaroo by extruding the image in CAD software. She then created the unfolded pattern of the 3-D model. However, it turned out that the design of the 3-D model was larger than A4 paper (normal printer paper)! A design larger than A4 paper would mess with the integrity of the paper structure because there would be individual cutouts split between multiple papers rather than having one continuous pattern. Ms. Marwa spent several more hours trying to modify the structure so that it would fit on an A4 paper and it was easy for students to assemble.\nIt was important for us that the students could create the kangaroo using materials easily accessible to them. The kit was designed in such a way that students could print out the design on printer paper or cardstock and only needed household items to create it — scissors, Q-tips, and glue/tape was sufficient.\nMs. Marwa also recorded videos that taught students how to fold the kangaroo cutout as well as how to create similar cutouts using software that mechanical engineers use — TinkerCad and Pepakura. We figured that this was a great opportunity for younger students to strengthen their motor skills and practice cutting and coloring. For older students, this was a great way to understand the applications of mathematical concepts that they had learned in preparation for the Math Kangaroo.\nGrowing up, none of our instructors had this kind of exposure to the applications of the theory we learned in school. While there were many 3-D cutouts of different animals found on the web, no one explained to the students how these cutouts were made using mechanical engineering software. We always strive to introduce new concepts to students, while they are having fun!\nThe kit was a huge success. 2nd grader Gideon B. from RSM Winchester created, colored and sent us a picture of his beautiful 3-D paper kangaroo. One 4th grade student remarked, “I enjoyed the MehtA+ Digital Kit. It was fun to assemble and is a great decoration for my study area!”\nWe are excited to announce that we will be sponsoring Math Kangaroo USA again in 2022. For students in grades 1–12, please don’t forget to register for Math Kangaroo by December 15, 2021. Who knows, you might be receiving one of our prizes next year!", "domain": "mathematics"} {"url": "https://www.iusmentis.com/technology/encryption/diffie-hellman/", "date": "2023-10-03T17:49:44Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233511170.92/warc/CC-MAIN-20231003160453-20231003190453-00373.warc.gz", "language_score": 0.9528703093528748, "token_count": 576, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__290287107", "lang": "en", "text": "The Diffie-Hellman system\nThe Diffie-Hellman algorithm is a public key algorithm. It was invented in 1976 by Whitfield Diffie and Martin Hellman (US patent 4,200,770). It allows two parties, commonly called Alice and Bob, to agree on a key that they can use to encrypt messages they want to send to each other. They can to this even when an eavesdropper (Eve) listens in on their entire conversation.\nThe security of this algorithm depends on the assumption that it is easy to raise a number to a certain power, but difficult to compute which power was used given the number and the outcome.\nThe Diffie-Hellman system allows Alice and Bob to agree on a key even when Eve is listening to everything they say to each other. Alice and Bob need to agree on a prime number p, which they can do by simply sending it to each other. Eve is allowed to learn this number p. In practice the number p is often simply advertised somewhere public.\nGiven a prime number p, it is possible to come up with a number g (the so-called generator) with a very interesting property. Every number between 1 and p-1 can be written as a power of g when calculating modulo p. For example, using p = 5 the generator is 2, because\n- 20 = 1\n- 21 = 2\n- 22 = 4\n- 23 = 3 (because 8 = 3 mod 5)\nAlice and Bob agree in the same way on a generator g for the numbers between 1 and p-1.\nThe public key\nThe numbers p and g serve as the public key.\nAlice and Bob both choose random numbers (a and b respectively). Alice then computes ga and Bob computes gb. They exchange their results.\nThe key that Alice and Bob now agree on is simply ga*b. This is all very easy to compute. Alice knows a and gb, and Bob knows b and ga, and\nAlice and Bob can use the key ga*b to encrypt messages with any secret key algorithm.\nThe security of the Diffie-Hellman system depends on the assumption that it is easy to raise a number to a certain power, but difficult to compute which power was used given the number and the outcome. For example, it's easy to compute 210 = 1024, but more difficult to determine that 1024 is the 10th power of 2.\nEve knows ga and gb, but since she does not know a or b itself, she cannot compute the key in a reasonable amount of time. To do that, she has to calculate the g-logarithm of ga (which mathematicians write as logg(ga)). And calculating this logarithm takes a long time.", "domain": "mathematics"} {"url": "https://webstat.une.edu.au/unit_materials/c5_inferential_statistics/confidence_interv_hypo.html", "date": "2020-03-30T14:01:15Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-16/segments/1585370497042.33/warc/CC-MAIN-20200330120036-20200330150036-00287.warc.gz", "language_score": 0.8771664500236511, "token_count": 245, "dump": "CC-MAIN-2020-16", "global_id": "webtext-fineweb__CC-MAIN-2020-16__0__84224341", "lang": "en", "text": "Confidence Intervals and\nTwo basic uses of inferential statistics are possible:\na)interval estimation Ð so-called \"confidence intervals\"\nb)point estimation Ð so-called \"hypothesis testing\"\nInterval estimation (\"Confidence Intervals\") and point estimation (\"Hypothesis Testing\") are two different ways of expressing the same information.\nUsing Confidence Intervals we make statements like the following:\n- the probability that the population mean (µ, or the 'true' value of the population mean) lies between 19 and 23 is 0.80;\n- the probability that the population correlation value (r, or the 'true' value of the correlation between these two variables) lies between 0.20 and 0.24 is 0.60;\nUsing Hypothesis testing we say:\n- the probability that our sample mean comes from a population with a mean of 21 is greater than 0.95\n- the probability that our two sample means come from the one populations is less than 5% (i.e.,0.05).\n- the probability that our sample comes from a population in which the true correlation is zero is 0.60.", "domain": "mathematics"} {"url": "https://president.williams.edu/in-memoriam/the-passing-of-olga-r-beaver/", "date": "2023-12-11T08:43:11Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679103810.88/warc/CC-MAIN-20231211080606-20231211110606-00552.warc.gz", "language_score": 0.9841503500938416, "token_count": 301, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__213195689", "lang": "en", "text": "To the Williams Community,\nI am very sad to report the death this morning of a true stalwart of our faculty, Professor of Mathematics Ollie Beaver, who taught as recently as this semester despite advancing illness.\nOllie earned her Ph.D., at UMASS Amherst, when that was quite a difficult path for a young mother, and in 1979 joined what was then a much smaller and male-dominated math department than the one she helped it become. From the start she was especially dedicated to women and minority students in math and science. She help found, and for many years directed, the Summer Science Program that has given countless Williams students a strong footing in those subjects. She often mentored those students throughout their four years.\nMeanwhile, she pursued her research in measure and probability theory. She was the second person ever to win the Louise Hay Award from the Association for Women in Mathematics, and the phenomenal growth in our math department is attributable in no small part to her.\nA college citizen of the highest order, she served also as department chair, as the Gaudino Scholar, and for many years as chair of the Winter Study Committee. In fact, the list of her committee assignments is impressively long. She loved all this work, and set about doing it effectively and without fanfare.\nAfter such a painfully swift loss, our thoughts and hearts will be for a long time with her family, especially her husband Don, professor of history of science.", "domain": "mathematics"} {"url": "https://firstpriorityfinancial.com/learning-center/calculators/", "date": "2020-06-05T21:52:34Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-24/segments/1590348504341.78/warc/CC-MAIN-20200605205507-20200605235507-00360.warc.gz", "language_score": 0.9037920236587524, "token_count": 320, "dump": "CC-MAIN-2020-24", "global_id": "webtext-fineweb__CC-MAIN-2020-24__0__9887323", "lang": "en", "text": "Check out our Calculators\nMortgage payment calculator\nFind out how much your payments would be.\nMortgage principal calculator\nThis calculator figures your principal balance after any number of payments.\nMortgage length calculator\nFigure out how long your mortgage will last depending on how much you pay monthly.\nHow much can I afford?\nDepending on your income, debt & other factors, this calculator will tell you how much house you can afford.\nTax benefits of buying\nEstimate the tax benefits of buying a home.\nShould I buy or rent?\nAnalyze the total cost to rent versus the total cost to own.\nShould I pay points?\nFind out if it’s worth it to pay points.\nDebt consolidation calculator\nFind out how long it takes to pay off a consolidation loan if you make a payment equal to your total monthly payments before consolidating.\nHow much income to qualify?\nThis calculator tells you how much you need to qualify for the home you want.\nCalculate your mortgage payment amortization.\nShould I refinance?\nAnalyze the total cost and savings of your refinance transaction.\nAPR Loan Calculator\nCalculate the APR of your loan.\nAPR ARM Loan Calculator\nCalculate the APR of your ARM loan.\nAPR ARM Payment Calculator\nCalculate the payment of an ARM loan.\nMortgage Calculations by Hand\nCalculate your mortgage payment by hand.\nCanadian Mortgage Payment Calculator\nCalculate a Canadian mortgage payment.", "domain": "mathematics"} {"url": "http://ntades.eu/2021/ntades/accommodation.html", "date": "2022-12-09T18:58:33Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-49/segments/1669446711475.44/warc/CC-MAIN-20221209181231-20221209211231-00806.warc.gz", "language_score": 0.7650780081748962, "token_count": 95, "dump": "CC-MAIN-2022-49", "global_id": "webtext-fineweb__CC-MAIN-2022-49__0__160960583", "lang": "en", "text": "Institute of Mathematics and Informatics\nBulgarian Academy of Sciences\nEight International Conference\nNew Trends in the Applications of Differential Equations in Sciences (NTADES 2021)\n6-9 September 2021, Sts. Constantine and Helena (Bulgaria)\nThe conference will be held in the Joliot-Curie International House of Scientists, St. Constantine and Helena, Bulgaria.\nLast modified: 2021-01-13", "domain": "mathematics"} {"url": "https://www.cropscience.bayer.us/articles/channel/estimating-soybean-yield-potential", "date": "2024-02-22T04:00:46Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947473690.28/warc/CC-MAIN-20240222030017-20240222060017-00059.warc.gz", "language_score": 0.9152707457542419, "token_count": 1081, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__40095826", "lang": "en", "text": "Estimating Soybean Yield Potential\nHarvest will be quickly upon us, and yield estimates will be occurring across the countryside. Crop yield potential is normally estimated by determining the number of plants in an area, the number of reproductive units, and the weight of those reproductive units.\nPotential Yield = plants/acre x seeds/plant x seed weight\nYield potential estimates for most row crops have three yield components, but how those yield component numbers are determined are different for each crop. Before estimating soybean yield potential, a word of caution; estimating soybean yield potential can be tricky. Soybean yield components can vary greatly by soybean product, different parts of the field, and from plant to plant. It is not advised to conduct a yield estimate during early reproductive stages as the plant has not fully determined the number of seeds that it may produce. Soybean yield potential estimates should only occur after the R6 (full seed) growth stage. Yield estimates should be conducted in at least 5 to 10 random places in the field and these random places should be representative of the plants in that area. By sampling in multiple places, a more uniform yield estimate for the entire field can be obtained.\nStep 1: Determine number of plants per acre.\n- Take time to calculate the number of harvestable plants per acre, as this number could have changed from when stand counts were determined earlier in the season.\n- Determine the row width and measure the corresponding row length to achieve 1/1000th of an acre.\n- Count the number of plants in the row for 1/1000th of an acre and multiple by 1000, to estimate the number of plants per acre.\n- For example, in 30-inch rows, measure 17 feet 5 inches in row length and count the number of plants in that row. If 114 plants were counted in the row, multiply by 1000 to have an estimated 114,000 harvestable plants per acre.\nStep 2: Estimate the number of pods per plant.\n- To estimate pods per plant, count the number of pods on each plant for 10 consecutive plants in one row.\n- Divide the total number of pods by 10 to determine the average number of pods per plant.\n- For example, if a total of 350 pods were counted, divide by 10 to reach an average of 35 pods per plant.\nStep 3: Estimate number of seeds per pod.\n- When determining the number of pods per plant, look at those pods from the 10 consecutive plants from Step 2.\n- If there is about an even mix of three and two seeded pods, use the general 2.5 seeds per pod value.\n- Typically, a value of 2.5 seeds per pod is used with healthy soybean plants when there is an average growing season. However, in stressful growing conditions, this number may be lower. This is when it would be advised to count the number of three seeded, two seeded, and one seeded pods to determine if a lower value of 2 or 1.5 seeds per pod should be used.\nStep 4: Estimate the weight of the seed\n- Seed weight is the most difficult yield component to estimate correctly.\n- Seed weight can vary by seed product and growing conditions.\n- When there is ample rain in August, larger seeds are typically produced which correspond to larger seed weights.\n- Stressful conditions of hot and dry usually produce plants with small seeds and lower seed weight.\n- A general ‘rule of thumb’ factor for seed weight is 2500 seeds per pound. However, a better indicator is typically what the original seed size was from the seed bag tag at planting. The seed weight factor can be adjusted if the final yield estimate is unusually too high or low.\nStep 5: Estimate the final yield (bushel/acre)\nMake sure to set up the equation correctly to have the correct units for each portion of the equation. For the equation, the weight of one bushel of soybean (60 pounds) is needed. Using the numbers in the examples above, the hypothetical soybean potential yield estimate from one spot in the field would be:\nPotential yield (bu/acre) = (plants/acre) x (pods/plant) x (seeds/pod) ÷ (seeds/lb) ÷ (lb/bu)\nbu/acre = 114,000 plants/acre x 35 pods/plant x 2.5 seeds/pod ÷ 2500 seeds/lb ÷ 60 lbs/bu = 66.5 bu/acre\nThese steps should be repeated at multiple locations across the field to get a representative average of estimated yield potential for the field. A reminder that yield potential estimates are only as good as the numbers used in the equation. Yield estimates made closer to harvest are more reliable than yield estimates taken earlier in the season when pod and seed development are occurring. Contact your local Channel Seedsmen concerning questions and assistance in estimating soybean yield potential.\nKnott, C. and Lee, C. 2018. Cultural practices. Chapter 4. A Comprehensive Guide to Soybean Management in Kentucky. ID-249. University of Kentucky College of Agriculture Food and Environment Cooperative Extension Service.\nSource verified 6/22/23. 1110_274488", "domain": "mathematics"} {"url": "https://www.housedumonde.com/group/mysite-231-group/discussion/be245823-3bc0-413a-965f-ce8d125dec2b", "date": "2024-04-15T11:56:09Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296816977.38/warc/CC-MAIN-20240415111434-20240415141434-00079.warc.gz", "language_score": 0.9466058611869812, "token_count": 2053, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__140882651", "lang": "en", "text": "In abstract algebra, group theory studies the algebraic structures known as groups. The concept of a group is central to abstract algebra: other well-known algebraic structures, such as rings, fields, and vector spaces, can all be seen as groups endowed with additional operations and axioms. Groups recur throughout mathematics, and the methods of group theory have influenced many parts of algebra. Linear algebraic groups and Lie groups are two branches of group theory that have experienced advances and have become subject areas in their own right.\nVarious physical systems, such as crystals and the hydrogen atom, and three of the four known fundamental forces in the universe, may be modelled by symmetry groups. Thus group theory and the closely related representation theory have many important applications in physics, chemistry, and materials science. Group theory is also central to public key cryptography.\nThe early history of group theory dates from the 19th century. One of the most important mathematical achievements of the 20th century was the collaborative effort, taking up more than 10,000 journal pages and mostly published between 1960 and 2004, that culminated in a complete classification of finite simple groups.\nGroup theory has three main historical sources: number theory, the theory of algebraic equations, and geometry. The number-theoretic strand was begun by Leonhard Euler, and developed by Gauss's work on modular arithmetic and additive and multiplicative groups related to quadratic fields. Early results about permutation groups were obtained by Lagrange, Ruffini, and Abel in their quest for general solutions of polynomial equations of high degree. Évariste Galois coined the term \"group\" and established a connection, now known as Galois theory, between the nascent theory of groups and field theory. In geometry, groups first became important in projective geometry and, later, non-Euclidean geometry. Felix Klein's Erlangen program proclaimed group theory to be the organizing principle of geometry.\nGalois, in the 1830s, was the first to employ groups to determine the solvability of polynomial equations. Arthur Cayley and Augustin Louis Cauchy pushed these investigations further by creating the theory of permutation groups. The second historical source for groups stems from geometrical situations. In an attempt to come to grips with possible geometries (such as euclidean, hyperbolic or projective geometry) using group theory, Felix Klein initiated the Erlangen programme. Sophus Lie, in 1884, started using groups (now called Lie groups) attached to analytic problems. Thirdly, groups were, at first implicitly and later explicitly, used in algebraic number theory.\nThe different scope of these early sources resulted in different notions of groups. The theory of groups was unified starting around 1880. Since then, the impact of group theory has been ever growing, giving rise to the birth of abstract algebra in the early 20th century, representation theory, and many more influential spin-off domains. The classification of finite simple groups is a vast body of work from the mid 20th century, classifying all the finite simple groups.\nThe range of groups being considered has gradually expanded from finite permutation groups and special examples of matrix groups to abstract groups that may be specified through a presentation by generators and relations.\nThe theory of transformation groups forms a bridge connecting group theory with differential geometry. A long line of research, originating with Lie and Klein, considers group actions on manifolds by homeomorphisms or diffeomorphisms. The groups themselves may be discrete or continuous.\nMost groups considered in the first stage of the development of group theory were \"concrete\", having been realized through numbers, permutations, or matrices. It was not until the late nineteenth century that the idea of an abstract group as a set with operations satisfying a certain system of axioms began to take hold. A typical way of specifying an abstract group is through a presentation by generators and relations,\nA significant source of abstract groups is given by the construction of a factor group, or quotient group, G/H, of a group G by a normal subgroup H. Class groups of algebraic number fields were among the earliest examples of factor groups, of much interest in number theory. If a group G is a permutation group on a set X, the factor group G/H is no longer acting on X; but the idea of an abstract group permits one not to worry about this discrepancy.\nThe change of perspective from concrete to abstract groups makes it natural to consider properties of groups that are independent of a particular realization, or in modern language, invariant under isomorphism, as well as the classes of group with a given such property: finite groups, periodic groups, simple groups, solvable groups, and so on. Rather than exploring properties of an individual group, one seeks to establish results that apply to a whole class of groups. The new paradigm was of paramount importance for the development of mathematics: it foreshadowed the creation of abstract algebra in the works of Hilbert, Emil Artin, Emmy Noether, and mathematicians of their school.\nAn important elaboration of the concept of a group occurs if G is endowed with additional structure, notably, of a topological space, differentiable manifold, or algebraic variety. If the group operations m (multiplication) and i (inversion),\nare compatible with this structure, that is, they are continuous, smooth or regular (in the sense of algebraic geometry) maps, then G is a topological group, a Lie group, or an algebraic group.\nThe presence of extra structure relates these types of groups with other mathematical disciplines and means that more tools are available in their study. Topological groups form a natural domain for abstract harmonic analysis, whereas Lie groups (frequently realized as transformation groups) are the mainstays of differential geometry and unitary representation theory. Certain classification questions that cannot be solved in general can be approached and resolved for special subclasses of groups. Thus, compact connected Lie groups have been completely classified. There is a fruitful relation between infinite abstract groups and topological groups: whenever a group Γ can be realized as a lattice in a topological group G, the geometry and analysis pertaining to G yield important results about Γ. A comparatively recent trend in the theory of finite groups exploits their connections with compact topological groups (profinite groups): for example, a single p-adic analytic group G has a family of quotients which are finite p-groups of various orders, and properties of G translate into the properties of its finite quotients.\nDuring the twentieth century, mathematicians investigated some aspects of the theory of finite groups in great depth, especially the local theory of finite groups and the theory of solvable and nilpotent groups. As a consequence, the complete classification of finite simple groups was achieved, meaning that all those simple groups from which all finite groups can be built are now known.\nDuring the second half of the twentieth century, mathematicians such as Chevalley and Steinberg also increased our understanding of finite analogs of classical groups, and other related groups. One such family of groups is the family of general linear groups over finite fields. Finite groups often occur when considering symmetry of mathematical orphysical objects, when those objects admit just a finite number of structure-preserving transformations. The theory of Lie groups,which may be viewed as dealing with \"continuous symmetry\", is strongly influenced by the associated Weyl groups. These are finite groups generated by reflections which act on a finite-dimensional Euclidean space. The properties of finite groups can thus play a role in subjects such as theoretical physics and chemistry.\nThis definition can be understood in two directions, both of which give rise to whole new domains of mathematics. On the one hand, it may yield new information about the group G: often, the group operation in G is abstractly given, but via ρ, it corresponds to the multiplication of matrices, which is very explicit. On the other hand, given a well-understood group acting on a complicated object, this simplifies the study of the object in question. For example, if G is finite, it is known that V above decomposes into irreducible parts (see Maschke's theorem). These parts, in turn, are much more easily manageable than the whole V (via Schur's lemma).\nGiven a group G, representation theory then asks what representations of G exist. There are several settings, and the employed methods and obtained results are rather different in every case: representation theory of finite groups and representations of Lie groups are two main subdomains of the theory. The totality of representations is governed by the group's characters. For example, Fourier polynomials can be interpreted as the characters of U(1), the group of complex numbers of absolute value 1, acting on the L2-space of periodic functions.\nA Lie group is a group that is also a differentiable manifold, with the property that the group operations are compatible with the smooth structure. Lie groups are named after Sophus Lie, who laid the foundations of the theory of continuous transformation groups. The term groupes de Lie first appeared in French in 1893 in the thesis of Lie's student Arthur Tresse, page 3.\nLie groups represent the best-developed theory of continuous symmetry of mathematical objects and structures, which makes them indispensable tools for many parts of contemporary mathematics, as well as for modern theoretical physics. They provide a natural framework for analysing the continuous symmetries of differential equations (differential Galois theory), in much the same way as permutation groups are used in Galois theory for analysing the discrete symmetries of algebraic equations. An extension of Galois theory to the case of continuous symmetry groups was one of Lie's principal motivations. 350c69d7ab\nWelcome to the group! You can connect with other members, ge...", "domain": "mathematics"} {"url": "http://stivoschool.org/page/exam-results", "date": "2018-08-20T03:10:14Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-34/segments/1534221215523.56/warc/CC-MAIN-20180820023141-20180820043141-00051.warc.gz", "language_score": 0.9772419929504395, "token_count": 358, "dump": "CC-MAIN-2018-34", "global_id": "webtext-fineweb__CC-MAIN-2018-34__0__45989367", "lang": "en", "text": "Overview of exam results\nGCSE results 2017\n66% of students gained a grade 4 or higher in both English and Maths.\nIn English 74% of students gained a 4 or higher.\nIn maths 76% of students gained a 4 or higher.\n20% of all GCSE grades were awarded at A*/A.\nIn Chemistry 66% of grades were at A*/A. In Art 42% of grades were at A*/A.\nThere were some notable high achievers in this year’s results. Abbey gained the equivalent of 10 A* grades closely followed by Mahil and Robert with 8 A*s and Jenna with 7 grades at A*.\nHeadteacher Sam Griffin said “These are an impressive set of results for this year group. I am delighted to see so many students doing so well. I would like to congratulate all of students on their achievements and to thank their staff and parents for their ongoing support. We are looking forward to welcoming students back into our Sixth Form at the start of term.”\nThe latest official DfE performance tables for the school's GCSE results can be found here.\nA level results 2018\nWe are delighted to have received another strong set of A Level results, particularly with over half of all grades at A*, A and B, and a quarter of grades at A*A! These results have enabled the vast majority of our students to progress to the university courses of their choice. Individual successes at the school include 12 students with straight A*A grades (or equivalent), with two of these students being awarded straight A* grades. Maths, Chemistry and Sport students have also performed particularly well, with over 50% of grades in these subjects at A*A or equivalent.", "domain": "mathematics"} {"url": "https://www.coffeyvillepl.org/2012/08/23/homework-help-the-library/", "date": "2019-03-22T00:00:09Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-13/segments/1552912202588.97/warc/CC-MAIN-20190321234128-20190322020128-00020.warc.gz", "language_score": 0.9466891288757324, "token_count": 183, "dump": "CC-MAIN-2019-13", "global_id": "webtext-fineweb__CC-MAIN-2019-13__0__117788939", "lang": "en", "text": "Elementary school children who need a little extra help with their homework have a new resource at the library. Brittini Trytek, a teacher at Holy Name, will be available at the library from 5-8 on Monday, Wednesday and Thursday and all day on Saturday to assist children who need help in getting their homework done.\nThe children should bring their books and their homework assignment with them to the library. Brittini will help them understand how to do the assignment. She will not do the assignment for the children. With Learning Express, an online database, and other library resources, Brittini and the children can do extra practice in math and reading.\nBrittini can help children research material for projects using the books in the library and trusted Internet sources. She will teach the children how to find accurate online information using the Student Research Center, Learning Express, Ebsco Digital Books and Kids.gov.", "domain": "mathematics"} {"url": "https://www.promohub.ng/how-to-use-fibonacci-numbers-in-forex-trading/", "date": "2023-12-03T21:15:20Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100508.53/warc/CC-MAIN-20231203193127-20231203223127-00839.warc.gz", "language_score": 0.8978819847106934, "token_count": 5363, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__164827521", "lang": "en", "text": "Are you looking to level up your forex trading game to maximize your profits? One of the most popular and effective techniques is the use of Fibonacci numbers. This powerful tool can help traders predict market trends and identify the best entry and exit points. Whether you’re a beginner or an experienced trader, mastering the Fibonacci sequence can give you the edge you need to succeed in the ever-evolving world of forex trading.\nThe Fibonacci numbers, named after an Italian mathematician, are a sequence of numbers generated by adding the two preceding numbers to create the next number in the sequence. The pattern goes 0, 1, 1, 2, 3, 5, 8, 13, 21, and so on. Traders use these numbers to plot key levels of support and resistance on a price chart. By identifying these levels, they can make informed decisions about when to buy or sell a currency pair. This strategy works particularly well in volatile markets, where prices tend to move in repetitive cycles.\nBut how exactly does one use Fibonacci numbers in forex trading? It all starts by identifying the highs and lows of a price chart. From there, traders can use the Fibonacci ratios to identify key levels to watch for a potential breakout. By setting stop-loss orders just below these levels, traders can minimize their risk and increase their chances of success. With practice and persistence, even beginner traders can master this powerful tool and start making more informed and profitable trades.\nWhat are Fibonacci numbers and ratios?\nFibonacci numbers are a series of numbers where each number is the sum of the two preceding numbers. The series starts with 0, 1, 1, 2, 3, 5, 8, 13, and continues infinitely. These numbers were first introduced in the book Liber Abaci by Italian mathematician Leonardo Fibonacci in the 13th century, which described various problems involving arithmetic, algebra, and geometry.\nFibonacci ratios are the values that are derived from the series of Fibonacci numbers. These ratios are used for technical analysis in various financial markets, including forex trading. The most popular ratios are 0.236, 0.382, 0.500, 0.618, and 0.786. The inverse of these ratios, which are 1.618, 2.618, and 4.236, are also commonly used in forex trading.\nFibonacci retracements as a trading tool\nOne of the most popular ways to use Fibonacci numbers in forex trading is through the use of Fibonacci retracements. These retracements are based on the idea that after a significant price move in one direction, the price will often retrace a certain percentage of that move before continuing in the original direction.\nFibonacci retracements are calculated by taking two extreme points on a price chart, typically a swing high and a swing low, and dividing the vertical distance between them by the key Fibonacci ratios of 23.6%, 38.2%, 50%, 61.8%, and 100%. These ratios are based on the Fibonacci sequence, which states that each number in the sequence is the sum of the two preceding numbers (i.e. 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, etc.).\nUsing Fibonacci retracements in forex trading\n- Identifying potential support and resistance levels: By plotting Fibonacci retracements on a price chart, traders can identify potential levels of support and resistance where the price is likely to stall or reverse. For example, the 38.2% and 61.8% retracement levels are often considered key levels to watch, as the price will often test these levels before continuing in the original direction.\n- Setting profit targets and stop loss levels: Fibonacci retracements can also be used to set profit targets and stop loss levels. For example, a trader might set a profit target at the 61.8% retracement level, where there is a higher likelihood that the price will stall or reverse. Likewise, a trader might set a stop loss at the 38.2% retracement level, which would indicate that the trade is likely to be unsuccessful.\n- Confirming other technical analysis: Fibonacci retracements can also be used to confirm other technical analysis indicators, such as trend lines or moving averages. If a Fibonacci retracement level coincides with a trend line or moving average, it is more likely to serve as a significant support or resistance level.\nFibonacci retracement levels table\nOverall, Fibonacci retracements are a powerful tool for forex traders looking to identify potential levels of support and resistance, set profit targets and stop loss levels, and confirm other technical analysis indicators. With the help of these retracements, traders can more effectively navigate the complex world of forex trading and increase their chances of success.\nHow to Draw Fibonacci Retracement Levels on a Trading Chart\nFibonacci retracement levels are used in forex trading to identify potential support and resistance levels. These levels are based on the Fibonacci sequence of numbers and are widely used by traders to determine entry and exit points for currency trades.\nDrawing Fibonacci retracement levels on a trading chart is a simple process that traders can easily learn and apply. Here are the steps to follow:\n- Step 1: Identify the trend – Before drawing the Fibonacci retracement levels, you need to identify the trend of the currency pair you are trading. You can do this by analyzing the price movement over a period of time and looking for the direction of the trend.\n- Step 2: Select the swing high and swing low – Once you have identified the trend, you need to select the swing high and swing low points. The swing high is the highest point reached by the currency pair during an uptrend, while the swing low is the lowest point reached during a downtrend\n- Step 3: Draw the retracement levels – To draw the Fibonacci retracement levels, you need to use a Fibonacci retracement tool. This tool is usually available on most trading platforms. Click on the tool and then click on the swing low and drag it to the swing high point. The tool will automatically draw the retracement levels for you.\nThe Key Fibonacci Retracement Levels\nThe retracement levels that traders commonly use are 38.2%, 50%, and 61.8%. Traders also use the 23.6% and 78.6% levels, although they are not as significant as the three key levels. Here is how to interpret the retracement levels:\n|38.2%||This is the first retracement level and is considered to be a shallow retracement. If the price retraces to this level, it is a sign that the trend is still strong and is likely to continue in the same direction.|\n|50%||This is the second retracement level and is considered to be a moderate retracement. If the price retraces to this level, it is a sign that the trend is likely to continue, but may be losing momentum.|\n|61.8%||This is the third and final retracement level and is considered to be a deep retracement. If the price retraces to this level, it is a sign that the trend is losing momentum and may be reversing.|\nTips and Tricks for Using Fibonacci Retracement Levels\nHere are some tips and tricks for using Fibonacci retracement levels in forex trading:\n- Don’t rely solely on Fibonacci retracement levels. They are just one tool that traders use and should be used in conjunction with other indicators and analysis.\n- Use Fibonacci retracement levels in combination with support and resistance levels. This will help you identify potential entry and exit points for your trades.\n- Practice drawing Fibonacci retracement levels on a demo trading account to get comfortable with the process before you begin trading with real money.\nBy following these steps and tips, traders can effectively use Fibonacci retracement levels to identify potential support and resistance levels for their forex trades. Remember to always practice risk management and never risk more than you can afford to lose.\nFibonacci extensions and their use in trading\nFibonacci extensions are another powerful tool in forex trading. They are used to help traders identify potential profit targets on trades. Once a trader has identified a trend, they can use Fibonacci extensions to predict where the price may move in the future.\n- First, the trader identifies the swing high and swing low points of the trend.\n- Then, they apply Fibonacci extensions levels to the chart.\n- The levels indicate where the price may potentially reach, based on the length of the trend.\nThere are different levels of Fibonacci extensions, including 127.2%, 161.8%, and 261.8%. These levels can be used as potential exit points for traders, as the price may encounter resistance or support at these levels.\nFibonacci extensions can also be used in conjunction with other technical analysis tools, such as trend lines and moving averages, to confirm potential price targets.\nExample of Fibonacci extensions in trading\n|Date||Swing High||Swing Low||Price Target|\n|January 1st||1.2000||1.1000||1.2720 (127.2% extension)|\n|January 15th||1.4000||1.2500||1.6170 (161.8% extension)|\n|February 1st||1.8000||1.6000||2.0860 (261.8% extension)|\nIn this example, the trader has identified the swing high and swing low points of three different trends. They have then applied Fibonacci extensions levels to the chart, with the levels indicating where the price may potentially reach. The trader can use these levels as potential profit targets, or as points to exit the trade.\nCommon Fibonacci levels used by traders\nFibonacci levels are widely used by traders in forex trading to identify potential support and resistance levels. Understanding these levels is crucial for traders to make informed decisions when it comes to placing trades. The most commonly used Fibonacci levels in trading are:\nThe Number 5\nThe number 5 is an important Fibonacci level that is used in trading. This level is not directly related to the actual Fibonacci sequence, but it is still important for traders to understand its significance. The number 5 is derived from the relationship between adjacent numbers in the Fibonacci sequence. The ratio of any two adjacent numbers in the Fibonacci sequence approaches the golden ratio of 1.618. When we add two adjacent Fibonacci numbers together, we get the next number in the sequence. For example, 3 + 2 = 5, and 5 + 3 = 8.\nTraders use the 5 level as a potential reversal point. When prices break above or below this level, it often indicates a potential reversal in the direction of the trend. This level is also used in combination with other Fibonacci levels to identify potential support and resistance levels. For example, the 50% level is often used in combination with the 5 level to identify a potential reversal point.\nIn addition to its use in Fibonacci retracements, the number 5 is also important in other aspects of trading. For example, some traders use a 5-period moving average to identify short-term trends in the market. This moving average is calculated by taking the average closing price of the last 5 periods.\nOverall, understanding the significance of the number 5 in trading can help traders make more informed decisions when it comes to placing trades. By combining this level with other Fibonacci levels, traders can identify potential support and resistance levels and make more accurate predictions about future price movements.\nIdentifying support and resistance levels with Fibonacci\nOne of the most popular ways to use Fibonacci numbers in forex trading is to identify support and resistance levels. Support levels are price points that a currency pair tends to bottom out at, while resistance levels are price points that a currency pair tends to peak at. By identifying these levels, traders can use them as indicators of potential future price movements and make more informed trading decisions.\n- To use Fibonacci levels to identify support and resistance, traders first need to locate the most recent high and low points on a chart. These points will be used to draw Fibonacci retracement levels. These levels are drawn by placing horizontal lines at the appropriate Fibonacci ratios.\n- Once the retracement levels are drawn, traders can look for support or resistance at these levels. Price action that shows a strong bounce off of a Fibonacci level can suggest that the level is acting as support or resistance.\n- Traders should also be on the lookout for multiple Fibonacci levels that occur close to each other. This confluence can provide additional evidence that a particular level is acting as support or resistance.\nFor example, suppose a currency pair has recently been trending upwards and has reached a high point of 1.4500. The pair then begins to retrace downwards, with a low point of 1.4000. To draw Fibonacci levels, traders would draw a horizontal line between these two points and place horizontal lines at the appropriate Fibonacci ratios, such as 38.2%, 50%, and 61.8%.\nIf the currency pair bounces strongly off the 38.2% level, traders might expect that level to act as support in the future. Similarly, if the currency pair encounters strong resistance at the 61.8% level, traders might expect that level to act as resistance in the future.\nOverall, using Fibonacci numbers to identify support and resistance levels can be a useful tool in forex trading. By paying attention to these levels and the price action surrounding them, traders can gain valuable insights into potential future price movements and make more informed trading decisions.\nFibonacci and Elliot Wave Theory in Forex Trading\nFibonacci retracements are a widely-used technical analysis tool in forex trading. They are based on the sequence of numbers known as the Fibonacci sequence, which is derived from the mathematical discoveries of Leonardo Fibonacci in the 13th century. Elliot Wave Theory, on the other hand, is a technical analysis approach developed by Ralph Nelson Elliot in the 1930s that identifies waves in financial markets.\nUsing Fibonacci Numbers in Forex Trading\n- Fibonacci retracements are used to identify potential levels of support and resistance in a market. Traders use Fibonacci retracements to identify potential entry and exit points for their trades.\n- The most common retracement levels are 23.6%, 38.2%, 50%, 61.8%, and 78.6%. These levels are calculated by taking the high and low points of a price movement and applying Fibonacci ratios to determine where the price is likely to retrace to.\n- Fibonacci retracements are often used in conjunction with other technical indicators, such as moving averages, to confirm potential entry and exit points.\nThe Relationship between Fibonacci and Elliot Wave Theory\nElliot Wave Theory identifies trends in the market as a series of impulsive and corrective waves. Fibonacci retracements are often used by Elliot Wave analysts to identify potential levels of support and resistance within these waves.\nFor example, an Elliot Wave analyst may identify a wave as being in an impulsive phase, and use Fibonacci retracements to identify potential levels of support for buying opportunities.\nFibonacci Retracement Levels\nOverall, the use of Fibonacci retracements in forex trading can be a useful tool for identifying potential entry and exit points for traders. When used in conjunction with other technical indicators, such as Elliot Wave Theory, Fibonacci retracements can help traders gain a better understanding of market trends and make more informed trading decisions.\nCombining Fibonacci with other technical analysis indicators\nFibonacci retracement is just one of several technical analysis tools used in trading. However, it is commonly used alongside other indicators to confirm a trend, support or resistance level, or possible reversal points. Below are ways on how to combine Fibonacci with other technical analysis indicators:\n- Moving Averages: Moving averages can help validate potential Fibonacci retracement levels. For instance, traders may be more inclined to look for retracements near key moving averages; the 50, 100, and 200 SMA. Similarly, if a retracement level coincides with a moving average, this may provide more emphasis on the level.\n- Relative Strength Index (RSI): RSI is a momentum indicator used to determine if a currency is overbought or oversold. If the RSI is over 70, the currency may be overbought, and if the RSI is below 30, the currency may be oversold. Fibonacci levels can confirm RSI signals. For example, if the RSI becomes oversold at a Fibonacci retracement level, it may indicate a possible reversal of the downtrend.\n- MACD: Moving Average Convergence Divergence (MACD) is a trend-following momentum indicator. This indicator is used to show the relationship between two moving averages. Similar to the RSI, traders combine it with Fibonacci retracements to confirm trend or reversal. If prices pull back to a Fibonacci level and the MACD is showing a bullish crossover, that could signal a potential bullish trend reversal.\nRetracement Trading Strategies\nThere are different trading strategies that traders use to apply Fibonacci retracements alongside other indicators. One strategy is the “Fibonacci Fan” strategy. This involves drawing diagonal trend lines to connect significant price points and form a fan-like pattern.\nAnother popular Fibonacci strategy is known as the “Fibonacci extension” strategy. This technique uses Fibonacci retracements and extensions to determine price targets. Extensions are calculated by projecting the price level of a retracement from the previous trend wave. A trader can enter a position near a key Fibonacci retracement level and place a stop loss underneath. Then, they can use a Fibonacci extension level as a profit-taking target to exit the trade.\nFibonacci Retracement Levels Table\nIn conclusion, combining Fibonacci retracements with technical indicators can provide traders with additional confirmation of trend, support and resistance levels, or potential reversals. It is essential to have a solid understanding of both the tools and the market before applying any strategy to ensure positive trading outcomes.\nPros and cons of using Fibonacci in forex trading\nUsing Fibonacci in forex trading is a popular technique among traders. Fibonacci numbers are a mathematical sequence that appears in many natural phenomena. In forex trading, these numbers are used to identify potential price movements and support/resistance levels.\n- The Fibonacci sequence can help traders identify possible price movements based on past trends and patterns.\n- It can serve as a guideline for where to enter or exit the market.\n- Fibonacci retracements can provide support and resistance levels that traders can use to set stop-loss or take-profit orders.\n- It can help traders manage risk by identifying potential entry and exit points.\n- The use of Fibonacci requires a certain level of technical analysis knowledge and expertise.\n- The accuracy of Fibonacci levels is not guaranteed, and they should not be used as the sole basis for trading decisions.\n- The strategy can be subjective and open to interpretation, leading to different outcomes.\n- It can be easy to get caught up in the patterns and forget about other important factors that may affect the market.\nDespite its advantages and disadvantages, the Fibonacci sequence is still a widely used tool in forex trading. Traders should always exercise caution and use it as part of a comprehensive trading plan that takes into account various factors, such as market conditions, news events and economic data.\nOne of the key Fibonacci numbers used in forex trading is 9. This number is often used in conjunction with the 38.2% and 61.8% retracement levels to identify potential support and resistance zones. The table below illustrates how the 9 Fibonacci number can be used in trading:\nTraders can use the above table to determine potential levels for entry, stop loss and take profit orders based on the 9 Fibonacci number and the corresponding retracement and extension levels. However, it is important to keep in mind that this is not a foolproof method and should be used in conjunction with other strategies and analysis.\nReal-life examples of successful Fibonacci trading strategies\nThere are many trading strategies that incorporate Fibonacci retracements and extensions. Here, we will explore some real-life examples of successful Fibonacci trading strategies.\n- Retracement Strategy: This strategy involves identifying a trend, drawing a Fibonacci retracement from swing low to swing high (in an uptrend) or swing high to swing low (in a downtrend), and entering a trade at a retracement level. For example, if the retracement level is 50%, the trader would enter a buy (in an uptrend) or sell (in a downtrend) order at that level. If price bounces off the retracement level and continues in the direction of the trend, the trade is successful.\n- Extension Strategy: This strategy involves identifying a trend, drawing a Fibonacci extension from swing low to swing high (in an uptrend) or swing high to swing low (in a downtrend), and placing buy (in an uptrend) or sell (in a downtrend) orders at the extension levels. For example, if the extension levels are 127.2%, 161.8%, and 261.8%, the trader would place buy (in an uptrend) or sell (in a downtrend) orders at these levels. If price reaches these levels and bounces, the trade is successful.\n- Fibonacci Fan Strategy: This strategy involves drawing a Fibonacci fan from a swing low to swing high (in an uptrend) or swing high to swing low (in a downtrend). The fan creates diagonal support and resistance levels. Traders can use these levels to enter trades or take profit. For example, if price is in an uptrend and approaching a fan level, traders can enter a buy order at that level. If price bounces off the level and continues in the direction of the trend, the trade is successful.\nOverall, Fibonacci retracements and extensions can be powerful tools when used in conjunction with other technical analysis tools and market knowledge. However, traders should always use proper risk management and consider the possibility of false signals or market manipulation.\nBelow is a table of common Fibonacci retracement and extension levels:\nRemember that Fibonacci levels are not always foolproof, and it’s essential to use other technical analysis indicators and market knowledge in combination with Fibonacci tools. When used properly, Fibonacci retracements and extensions can give traders an edge in analyzing market movements and making informed trading decisions.\nFAQs about How to Use Fibonacci Numbers in Forex Trading\n1. What are Fibonacci numbers in forex trading?\nFibonacci numbers are a series of numbers used by traders in financial markets to predict future price movements.\n2. How are Fibonacci numbers used in forex trading?\nFibonacci retracement levels are used by forex traders to identify potential levels of support and resistance in the market. Traders plot these levels on their charts to help them identify potential buy and sell points.\n3. What is Fibonacci retracement level?\nFibonacci retracement level is the percentage of a price move that retraces before continuing in the original direction. These levels are drawn from the highest point to the lowest point, or vice versa, in a given price move.\n4. Can Fibonacci numbers be used to predict future forex market trends?\nFibonacci numbers and retracement levels cannot predict future market trends with certainty. In fact, traders should always consider other technical and fundamental indicators before they make trading decisions.\n5. How do I add a Fibonacci retracement level to my chart?\nMost forex trading platforms have built-in Fibonacci tools that you can use to add retracement levels to your chart. Look for the Fibonacci Retracement option in your platform’s charting tools.\n6. How do I interpret the Fibonacci retracement levels on my chart?\nThe retracement levels help traders identify areas of support and resistance in the market. These levels can be used to determine potential entry and exit points, as well as stop-loss and take-profit levels.\n7. Are there any downsides to using Fibonacci numbers in forex trading?\nSome critics argue that Fibonacci numbers and retracement levels are not based on any sound mathematical or statistical principles. However, many traders have found success using these tools in their trading.\nClosing Title: Thanks for Reading Our Guide on How to Use Fibonacci Numbers in Forex Trading\nWe hope this guide has been helpful in gaining a better understanding of how to use Fibonacci numbers and retracement levels in forex trading. Remember that Fibonacci numbers are just one tool in your trading arsenal, and it should always complement your trading strategy. Thanks for reading and be sure to visit us again for more useful trading tips and information.", "domain": "mathematics"} {"url": "https://flhespectator.com/how-much-math-do-you-need-for-computer-science/", "date": "2024-03-04T02:26:58Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947476409.38/warc/CC-MAIN-20240304002142-20240304032142-00692.warc.gz", "language_score": 0.9118736982345581, "token_count": 2237, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__162586102", "lang": "en", "text": "How Much Math Do You Need for Computer Science?\nMathematics is an essential element in the field of computer science and plays a vital role in various areas within the discipline. Whether you are interested in coding, algorithms, data analysis, or artificial intelligence, a solid understanding of math concepts is crucial for success.\nFoundational Math Skills\nAt the very least, computer science students should have a strong foundation in basic math skills. This includes a solid understanding of arithmetic, algebra, and geometry. These fundamental areas of math provide the building blocks for more advanced concepts, making them essential for any aspiring computer scientist.\nArithmetic (basic calculations like addition, subtraction, multiplication, and division) is essential for understanding the basics of coding and algorithms. Algebra helps students develop problem-solving skills and logical thinking, which are crucial for writing efficient and optimized code. Geometry, on the other hand, is necessary for understanding concepts related to geometric algorithms, computer graphics, and visualization.\nDiscrete mathematics is an area of math that focuses on countable and distinct elements, and it is highly relevant to computer science. It covers topics such as set theory, logic, graph theory, combinatorics, and probability theory. These concepts help computer scientists understand and analyze algorithms, data structures, and cryptography.\nSet theory provides a foundation for understanding data structures like sets, arrays, and trees. Logic is essential for designing and analyzing the correctness of algorithms. Graph theory helps in understanding and optimizing network algorithms and data relationships. Combinatorics plays a role in analyzing the efficiency of searching and sorting algorithms. Probability theory is crucial for machine learning algorithms and artificial intelligence tasks that involve uncertainty and randomness.\nCalculus and Continuous Mathematics\nWhile not every computer science student may need to delve deeply into calculus, having a basic understanding of calculus and continuous mathematics can be beneficial, especially for certain areas within computer science.\nCalculus helps computer scientists understand concepts such as optimization, approximation, and continuous change over time. It is particularly important in areas like machine learning, data analysis, and computer graphics. A solid foundation in calculus allows computer scientists to develop and optimize algorithms for complex computational problems.\nLinear algebra is another important branch of math that is highly applicable to computer science. It deals with systems of linear equations, vectors, and matrices. Linear algebra is widely used in diverse areas such as computer graphics, cryptography, data compression, and machine learning.\nUnderstanding linear algebra allows computer scientists to manipulate and analyze large data sets, apply transformations to graphical objects, optimize algorithms, and solve systems of equations efficiently.\nMathematics forms a strong foundation for computer science and is integral to many areas within the field. While the level of math required may vary depending on the specific area of focus, having a solid understanding of arithmetic, algebra, discrete mathematics, calculus, and linear algebra is crucial for success in computer science.\nBy mastering these math concepts, computer scientists can develop efficient algorithms, design robust systems, analyze data effectively, and explore the frontiers of artificial intelligence. So, embrace math as you embark on your computer science journey and unlock the immense possibilities it offers.\nFoundational Mathematical Concepts\nA solid foundation in discrete mathematics, including sets, logic, and algorithms, is essential for tackling computer science problems effectively. Discrete mathematics provides the logical framework and tools required to understand the fundamental principles of computer science and programming.\nOne of the key components of discrete mathematics is understanding sets. In computer science, sets are used to organize and categorize data. They are particularly useful when dealing with large amounts of information. For example, in a database, sets can be used to represent a collection of records or entities. Understanding concepts such as unions, intersections, and complements of sets is crucial for efficiently manipulating and analyzing data.\nLogic is another important aspect of discrete mathematics. It provides the foundation for creating and evaluating logical statements, which are fundamental in computer science. Logic helps identify patterns, make deductions, and reason through complex problems. It allows computer scientists to construct solid and reliable arguments, which are essential for designing algorithms and creating robust software.\nAlgorithms form the backbone of computer science. These step-by-step procedures are used to solve problems and perform computations. To effectively design and analyze algorithms, a strong understanding of mathematical concepts is necessary. This includes grasping concepts such as efficiency and complexity, which are directly related to the mathematical representation and analysis of algorithms. By understanding these concepts, computer scientists can create efficient and optimized algorithms to solve problems in the most effective manner.\nAdditionally, a strong foundation in discrete mathematics helps develop critical thinking skills, which are essential in computer science. The ability to break down a problem, analyze its components, and devise a solution is crucial when working with complex algorithms and systems. Discrete mathematics provides the necessary tools and techniques to approach problems logically and systematically.\nIn summary, a solid understanding of the foundational mathematical concepts in discrete mathematics is crucial for computer scientists. Sets, logic, and algorithms are at the heart of computer science, and a strong foundation in these areas is necessary for tackling complex problems and creating efficient solutions. By developing a solid mathematical foundation, computer scientists can effectively navigate the ever-changing landscape of technology and contribute to advancements in the field.\nCalculus and Analysis\nA basic understanding of calculus, particularly differential calculus and sequences, is useful for analyzing algorithms and computational complexity. Calculus is a branch of mathematics that deals with the study of change, particularly of functions and their rates of change. It helps in understanding how quantities change over time or space.\nIn computer science, calculus is particularly important for analyzing algorithms and computational complexity. Algorithms are step-by-step procedures used for solving a problem, and understanding their efficiency is crucial for developing efficient programs. Computational complexity, on the other hand, deals with measuring the resources required to execute an algorithm, such as time and memory.\nDifferential calculus, which focuses on the concept of derivatives, is especially relevant in computer science. Derivatives measure the instantaneous rate of change of a function and have applications in optimization and approximation algorithms. For example, in machine learning, derivatives are used to optimize the parameters of a model to minimize the error between predicted and actual outcomes.\nSequences, another topic within calculus, are important for understanding the behavior of algorithms. In computer science, algorithms often deal with sequences of data, such as arrays or linked lists. Understanding the properties and behavior of these sequences helps in analyzing and designing efficient algorithms.\nOverall, a basic understanding of calculus, particularly differential calculus and sequences, provides essential tools for analyzing algorithms and computational complexity in computer science. It helps in optimizing algorithms and understanding their efficiency in terms of time and memory consumption.\nLinear Algebra and Matrices\nIn computer science, a strong foundation in linear algebra and matrices is essential. These mathematical concepts play a crucial role in various applications such as graphics, machine learning, and cryptography.\nLinear algebra deals with vector spaces and linear transformations. It provides the tools and techniques to solve systems of linear equations, analyze geometric transformations, and understand the properties of vectors and matrices. Matrices are a fundamental component of linear algebra, representing linear transformations and assisting in solving complex problems efficiently.\nOne significant area where linear algebra is utilized in computer science is graphics. Graphics involve creating and manipulating images, animations, and visual effects using computer algorithms. Techniques such as 3D modeling, rendering, and image processing heavily rely on linear transformations and matrix operations. For instance, rotating and scaling objects in computer graphics involve applying linear transformations to vectors, and matrices are used to represent these transformations.\nAnother important application of linear algebra in computer science is machine learning. Machine learning algorithms train models to make predictions or decisions without being explicitly programmed. Linear algebra is used to represent and manipulate data in these models. For example, in linear regression, a popular machine learning algorithm, linear algebra is used to estimate the coefficients of a linear equation that best fits the given data.\nCryptography, the study of secure communication, also heavily relies on linear algebra. Cryptographic algorithms, like the widely used RSA algorithm, involve modular arithmetic operations that can be represented using matrices. Linear algebra techniques, such as matrix multiplication, inversion, and exponentiation, are fundamental in implementing and analyzing these cryptographic algorithms.\nHaving a strong understanding of linear algebra and matrices allows computer scientists to develop efficient and optimized algorithms, understand the mathematical foundations of various computer science applications, and tackle complex problems in the field.\nProbability and Statistics\nProbability and statistics are essential concepts in computer science, as they provide the foundation for understanding and analyzing data. Whether you’re working on data analysis, machine learning, or network modeling, a strong grasp of probability and statistics is crucial.\nProbability is the study of chance and uncertainty. It allows us to quantify the likelihood of an event happening. In computer science, probability is used to analyze data and make predictions. For example, in machine learning algorithms, probability is used to determine the likelihood of a certain outcome based on patterns found in the data.\nStatistics, on the other hand, involves the collection, analysis, interpretation, presentation, and organization of data. It helps us make sense of the information we gather and draw valuable insights. In computer science, statistics is used to analyze large datasets and make informed decisions.\nOne area of computer science where probability and statistics are extensively used is data analysis. Data analysis involves sorting, cleaning, and analyzing large sets of data to uncover meaningful patterns and insights. By applying statistical techniques, such as hypothesis testing and regression analysis, computer scientists can draw valuable conclusions from the data.\nMachine learning, a subset of artificial intelligence, also heavily relies on probability and statistics. Machine learning algorithms learn from past data and use that knowledge to make predictions or decisions. Probability is used to find the most likely outcome, while statistical models help in training and evaluating machine learning algorithms.\nFor example, in image recognition tasks, probability and statistics are used to classify images into different categories. The algorithm compares the features of the image with the probabilities of each category to determine the most likely classification. Statistical models are then used to optimize and improve the accuracy of the algorithm.\nNetwork modeling is another area of computer science where probability and statistics come into play. Networks, such as social networks or computer networks, are complex systems with interconnected entities. Probability is used to model the behavior of these networks and predict outcomes.\nFor example, in network security, probability is used to analyze the likelihood of a cyber-attack happening and the potential impact it could have. By understanding the probabilities, computer scientists can develop strategies to protect the network and mitigate the risks.\nIn conclusion, probability and statistics are vital for computer science. They provide the necessary tools to analyze data, make predictions, and understand complex systems. Whether you’re working on data analysis, machine learning, or network modeling, a solid understanding of probability and statistics is essential for success.", "domain": "mathematics"} {"url": "https://slow.mathewkiang.com/2013/12/20/shiny-desolve-interactive-ode-models/", "date": "2024-04-14T14:37:49Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296816879.72/warc/CC-MAIN-20240414130604-20240414160604-00585.warc.gz", "language_score": 0.9172277450561523, "token_count": 402, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__23662601", "lang": "en", "text": "While taking a disease dynamics course, I thought it would be a good opportunity to learn how to use the\nShiny package in\nR and create an interactive interface for some of my problem sets. After a few trial runs with smaller, simpler setups, I have wrapped up the side project (for now). You can see it in action here 1 and you can view the final code on my Git.\nAt some point, I’d like to make an analogous version of these models using network-based approaches. However, all my work in network models has been done using Python so it might take a while.\nIf you’re unfamiliar with compartmental models, they are deterministic models that use differential equations to describe the spread of an epidemic through a population. The Wikipedia page on them is a pretty good place to start. The parameters on the page are described below—note that certain parameters are only shown when they are applicable.\n- Probability of transmission: the probability that an infectious person will infect a susceptible person at any one contact.\n- Average contacts: the number of people an infected person will run into (per week).\n- Disease properties:\n- No recovery: when checked, if somebody becomes infected, they will be infectious forever—never recovering.\n- Duration: how long an infected person remains infected\n- Latent period: the time between being infected and being infectious (at which point they are neither susceptible nor infected, but are “exposed”).\n- Seasonal fluctuations: a cosine function that emulates seasonal fluctuations in contact rates.\n- Vital dynamics:\n- Birth and death rate: Self-explanatory. In these model, kept equal to each other.\n- Proportion of vaccinated a birth: assumes vaccination occurs immediately at birth (therefore, this is the proportion of new births who never enter a susceptible stage).\n- Vaccine effectiveness: probability of a vaccine actually working.", "domain": "mathematics"} {"url": "http://rovaa.sk/library/mathematical-analysis-i-unitext-volume-84-2-nd-edition", "date": "2018-05-23T11:08:00Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-22/segments/1526794865595.47/warc/CC-MAIN-20180523102355-20180523122355-00261.warc.gz", "language_score": 0.8953306674957275, "token_count": 1478, "dump": "CC-MAIN-2018-22", "global_id": "webtext-fineweb__CC-MAIN-2018-22__0__132207077", "lang": "en", "text": "The aim of the quantity is to supply a aid for a primary path in arithmetic. The contents are organised to charm particularly to Engineering, Physics and computing device technology scholars, all components within which mathematical instruments play a vital position. easy notions and techniques of differential and vital calculus for services of 1 actual variable are offered in a fashion that elicits severe examining and activates a hands-on method of concrete purposes. The format has a specifically-designed modular nature, permitting the teacher to make versatile didactical offerings whilst making plans an introductory lecture path. The e-book could in reality be hired at 3 degrees of intensity. on the effortless point the scholar is meant to understand the very crucial principles and familiarise with the corresponding key ideas. Proofs to the most effects befit the intermediate point, including numerous feedback and complementary notes improving the treatise. The final, and farthest-reaching, point calls for the extra research of the cloth inside the appendices, which permit the strongly prompted reader to discover additional into the topic. Definitions and houses are offered with large examples to stimulate the training approach. Over 350 solved routines whole the textual content, a minimum of half which advisor the reader to the answer. This re-creation beneficial properties extra fabric with the purpose of matching the widest diversity of academic offerings for a primary process arithmetic.\nRead or Download Mathematical Analysis I (UNITEXT) PDF\nSimilar Mathematics books\nChosen Works of Giuseppe Peano (1973). Kennedy, Hubert C. , ed. and transl. With a biographical caricature and bibliography. London: Allen & Unwin; Toronto: college of Toronto Press.\nThe information of Fourier have made their means into each department of arithmetic and mathematical physics, from the idea of numbers to quantum mechanics. Fourier sequence and Integrals makes a speciality of the intense energy and adaptability of Fourier's easy sequence and integrals and at the impressive number of purposes during which it's the leader instrument.\nAuthored by way of a number one identify in arithmetic, this attractive and obviously offered textual content leads the reader throughout the a number of strategies desirous about fixing mathematical difficulties on the Mathematical Olympiad point. overlaying quantity thought, algebra, research, Euclidean geometry, and analytic geometry, fixing Mathematical difficulties contains quite a few workouts and version options all through.\nA few books on algorithms are rigorous yet incomplete; others hide lots of fabric yet lack rigor. creation to Algorithms uniquely combines rigor and comprehensiveness. The ebook covers a large variety of algorithms intensive, but makes their layout and research obtainable to all degrees of readers.\nAdditional info for Mathematical Analysis I (UNITEXT)\nThen: a) If f expanding on I, then f′(x) ≥ zero for all x ∈ I. b1) If f′(x) ≥ zero for any x ∈ I, then f is expanding on I; b2) if f′(x) > zero for all x ∈ I, then f is exactly expanding on I. evidence. allow f be the map. consider first f is continuous, for this reason for each x zero ∈ I, the variation quotient , with x ∈ I, x ≠ x zero, is 0. Then f‱(x zero) = zero via definition of by-product. Vice versa, consider f has 0 spinoff on I and allow us to end up that f is continuing on I. this may be resembling challenging Take x 1, x 2 ∈ I and use formulation (6. thirteen) on f. For an appropriate among x 1,x 2, we now have therefore f(x 1) = f(x 2). □ 6. 7 6. 7 Monotone maps within the mild of the consequences on differentiability, we take on the problem of monotonicity. evidence. allow us to turn out declare a). believe f expanding on I and think about an inside aspect x zero of I. For all x ∈ I such that x < x zero, we now have therefore, the adaptation quotient among x zero and x is non-negative. nevertheless, for any x ∈ I with x > x zero. the following too the adaptation quotient among x zero and x is confident or 0. Altogether, Corollary four. three on yields f′(x zero) ≥ zero. As for the potential extremum issues in I, we arrive on the comparable end via contemplating one-sided limits of the variation quotient, that's constantly ≥ zero. Now to the results in elements b). Take f with f′(x) ≥ zero for all x ∈ I. the assumption is to mend issues x 1 < x 2 in I and turn out that f(x 1) ≤ f(x 2). For that we use (6. thirteen) and notice that through assumption. yet because x 2 − x 1 > zero, now we have proving b1). contemplating f such that f′(x) > zero for all x ∈ I as an alternative, (6. thirteen) implies f(x 2) − f(x 1) > zero, accordingly additionally b2) holds. □ the theory asserts that if f is differentiable on I, the next common sense equivalence holds: additionally, The latter implication isn't really reversible: f strictly expanding on I doesn't suggest f′(x) > zero for all x ∈ I. we have now somewhere else saw that f(x) = x three is in all places strictly expanding, regardless of having vanishing spinoff on the foundation. an identical assertion to the above holds if we modify the observe ‘increasing’ with ‘decreasing’ and the symbols ≥, > with ≤, <. Corollary 6. 28 permit f be differentiable on I and x zero an inside severe aspect. If f′(x) ≥ zero on the left of x zero and f′(x) ≤ zero at its correct, then x zero is a greatest element for f. equally, f′(x) ≤ zero on the left, and ≥ zero on the correct of x zero implies x zero is a minimal element. Theorem 6. 27 and Corollary 6. 28 justify the hunt for extrema one of the zeroes of f′, and clarify why the derivative's signal impacts monotonicity periods. instance 6. 29 The map f : ℝ → ℝ, f(x) = xe2x differentiates to f′(x) = (2x + 1)e2x , whence is the only serious element. As f′(x) > zero if and provided that is an absolute minimal. The functionality is exactly reducing on and strictly expanding on . □ 6. eight 6. eight Higher-order derivatives enable f be differentiable round x zero and permit its first by-product f′ be additionally outlined round x zero. Definition 6. 30 If f′ is a differentiable functionality at x zero, one says f is two times differentiable at x zero. The expression is termed moment spinoff of f at x zero.", "domain": "mathematics"} {"url": "https://online.engineering.arizona.edu/faculty/Fan/", "date": "2022-08-12T20:16:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-33/segments/1659882571758.42/warc/CC-MAIN-20220812200804-20220812230804-00660.warc.gz", "language_score": 0.9137207865715027, "token_count": 364, "dump": "CC-MAIN-2022-33", "global_id": "webtext-fineweb__CC-MAIN-2022-33__0__135322737", "lang": "en", "text": "Neng Fan is an associate professor in the Systems and Industrial Engineering Department at the University of Arizona. He obtained his bachelor’s degree in computational mathematics from Wuhan University in 2004 and master’s degree in applied mathematics from Nankai University in 2007. He obtained his master’s and PhD degrees from the Industrial and Systems Engineering Department at the University of Florida in 2009 and 2011, respectively.\nFan’s research interests include integer programming, stochastic and robust optimization methods, and their applications in data mining, combinatorial optimization, energy systems, water systems, and health care. He has been involved in organizing several conferences in the areas of optimization, smart grids, and health care, and also served as a reviewer for many journals. Currently, he is the associate editor for two journals, Optimization Letters and Energy Systems, published by Springer.\nFan is a member of the Institute for Operations Research and Management Sciences (INFORMS) and the Institute of Industrial Engineering (IIE).\n- PhD Industrial and Systems Engineering - University of Florida, 2011\n- MS Industrial and Systems Engineering - University of Florida, 2009\n- MS Applied Mathematics - Nankai University, 2007\n- BS Computational Mathematics - Wuhan University, 2004\nTeaching Interests: Optimization, operations research, probability, statistics, data analytics, and machine learning\nResearch Interests: Methodologies in optimization: integer programming, combinatorial optimization, stochastic programming, robust optimization, multilevel programming, and large-scale optimization; applied operations research: energy systems, water systems, renewable energy integration, interdependent infrastructures, healthcare and sustainable agriculture; data analytics: data mining, machine learning, and high-dimensional data with uncertainties", "domain": "mathematics"} {"url": "https://numathsapp.com/2016/11/11/south-african-learners-have-the-lowest-performance-in-the-international-mathematics-and-science-study/", "date": "2021-09-24T00:56:00Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-39/segments/1631780057479.26/warc/CC-MAIN-20210923225758-20210924015758-00051.warc.gz", "language_score": 0.9676821827888489, "token_count": 519, "dump": "CC-MAIN-2021-39", "global_id": "webtext-fineweb__CC-MAIN-2021-39__0__15567660", "lang": "en", "text": "In 2011, the Trends in International Mathematics and Science Study (TIMSS) showed that South African learners have the lowest performance among all 21 middle-income countries that participated. South Africa’s development as a knowledge economy depends partly on improving the teaching of mathematics and numeracy. Furthermore, South Africa’s extremely high youth unemployment, which is currently at 50%, is closely linked to the quality of schooling; numeracy and mathematics competency in particular. We have looked at the education Stats for 2013 and 2014 as shown on department of education website, and the results show that we still have a long way to go in terms of improving the situation for the future of this country.\nNubian Smarts believes that building a solid math foundation is vital for children to succeed. Hence our interest in creating applications for primary school children. Studies have shown that students with weak basic math skills find the subject increasingly difficult and confusing thus leading them to get poor results. This often leads to math anxiety and the belief that mathematics is hard and not fun, which is how most people feel when asked about their experiences with regards to maths.\nSo in essence when a child develops a solid math foundation, you notice that the stress caused by poor math skills disappears, and you might notice the child even saying that maths is fun. We at Nubian Smarts believe that this is not an unattainable goal and that the key to improving these statistics is by creating mobile applications that focus on creating a lifelong love of mathematics. These mobile applications are not intended to be a unique educational method but rather to complement the other areas of the educational programme.\nStudies conducted have reported that mobile apps are not only engaging, but educational, for children as young as preschool. PBS Kids, in partnership with the US Department of Education, found that the vocabulary of kids’ age’s three to seven who played its Martha Speaks mobile app improved up to 31%. Abilene Christian University conducted research around the same time that found math students who used the iOS app “Statistics 1” saw improvement in their final grades. They were also more motivated to finish lessons on mobile devices than through traditional textbooks and workbooks.\nMore recently, two studies that separately followed fifth and eighth graders who used tablets for learning in class and at home found that learning experiences improved across the board. 35% of the 8th graders said that they were more interested in their teachers’ lessons or activities when they used their tablet, and the students exceeded teachers’ academic expectations when using the devices.", "domain": "mathematics"} {"url": "https://differencify.com/feet-vs-square-feet/", "date": "2024-03-03T20:24:27Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947476397.24/warc/CC-MAIN-20240303174631-20240303204631-00678.warc.gz", "language_score": 0.9355093836784363, "token_count": 1143, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__49984305", "lang": "en", "text": "Are you ready to take a step towards understanding the fundamental difference between feet and square feet? Whether you’re a novice in the world of measurement or simply curious about how these terms are used, this blog post will unravel the mystery for you. From finding the perfect shoe fit to calculating your living space, we’ll explore why it’s essential to distinguish between regular feet and their squared counterpart. Get ready to put your best foot forward as we dive into this fascinating topic!\nFeet Vs Square Feet (Comparison Table)\n|The term “foot” refers to a unit of measurement equal to 12 inches (30.48 cm) in length.\n|The term “square foot” refers to a unit of area measuring equal to one foot by one foot (1 sq ft = 12 in x 12 in = 144 sq in).\n|The unit symbol for the foot is “ft”.\n|The unit symbol for square feet is “sq ft”.\n|The Foot is used to measure lengths, such as heights and distances.\n|Square feet are used to measure area, often for rooms or land parcels.\n|You cannot directly convert feet to square feet due to the different measurement types.\n|To convert from feet to square feet, calculate the area in square inches and then convert it using the appropriate factor.\n|Feet are measured in linear units.\n|Square feet are measured in terms of area units.\n|The term “foot” is derived from the Latin word “pedem,” meaning foot.\n|The term “square foot” combines “square” and “foot” to denote an area defined by one-foot sides of a square.\nFeet (plural of foot) is the non-SI unit for measuring length. It is used mainly in the Imperial and U.S. customary systems of measurement and is equal to 12 inches or 30.48 centimeters. We often use feet to measure the height of something or the distance between two points.\nExamples of Feet\n- The height of a basketball hoop is 10 feet.\n- The length of a soccer field is 120 feet.\n- The depth of an Olympic-size swimming pool is 10 feet.\nWhat is Square Feet?\nSquare feet, on the other hand, is a unit of measurement used in the imperial and US customary systems to measure area. It is equal to one square foot, which is defined as an area with sides of one foot in length. One square foot is equal to 144 square inches and 0.09290304 square meters.\nExamples of Square Feet:\n- The average size of a two-bedroom apartment is 1,000 square feet.\n- The size of an Olympic-size swimming pool is 7,600 square feet.\n- A standard bowling alley lane measures 41 ½ feet long by 12 ½ feet wide, for a total area of 518 ¾ square feet.\nKey Differences Between Feet and Square Feet Explained\n- Meaning: The term “foot” refers to a unit of measurement that is equal to 12 inches (30.48 cm), while the term “square foot” refers to a unit of area measure equal to one foot by one foot (1 sq ft = 12 in x 12 in = 144 sq in).\n- Unit Symbol: The unit symbol for the foot is simply “ft”, while the unit symbol for square feet is “sq ft”.\n- Conversion: It is not possible to directly convert from feet into square feet because they are different units of measure; however, it is possible to calculate the area of an object or space given its dimensions in feet and then convert this area into square feet using the appropriate conversion factor.\n- Measurement: The measurement of feet is taken in linear units while the measurement of square feet is taken in terms of area.\nHow to Convert Feet to Square Feet\nThere are 12 inches in a foot, so to convert feet to square feet, you need to multiply the number of feet by 12. For example, if you have a room that is 10 feet wide and 20 feet long, the area of the room would be 200 square feet. Mathematical derivation is as follows:\nArea = Length x Width\nArea = 10 feet x 20 feet\nArea = 200 square feet\nCommon Mistakes Made When Measuring with Square Feet\nWhen it comes to measuring square feet, there are a few common mistakes that are made.\nFirst, when measuring square footage, you should always use a tape measure. Measuring with a ruler will not give you an accurate measurement.\nSecond, when measuring the length and width of a room, make sure to measure from the outside edges of the room.\nThird, make sure to include all areas of the room when measuring square footage. This includes closets, hallways, and any other areas that are part of the room. Don’t forget to convert your measurements into square feet. To do this, simply multiply the length by the width.\nWe hope that this article has helped you understand the fundamental difference between feet and square feet. Knowing the unit of measurement for each can be important when planning projects or taking measurements. It is also a useful tool to know when shopping for items that require precise measurements, such as flooring, appliances, furniture, etc.\nIn addition to understanding these units of measure, it is important to have the right tools in order to make sure your project turns out perfectly!", "domain": "mathematics"} {"url": "https://www.gamesforyoungminds.com/blog/2018/7/17/nim-a-devilishly-difficult-game", "date": "2019-08-21T19:00:38Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-35/segments/1566027316150.53/warc/CC-MAIN-20190821174152-20190821200152-00468.warc.gz", "language_score": 0.9671540856361389, "token_count": 1356, "dump": "CC-MAIN-2019-35", "global_id": "webtext-fineweb__CC-MAIN-2019-35__0__124257564", "lang": "en", "text": "Nim - A Devilishly Difficult Game\nAges: 7 and up\nMath Ideas: Subtraction, deductive reasoning, mathematical proof\nQuestions to Ask:\nWant to figure out a strategy to always win?\nDo you want to go first or second this time?\nIf you make that move, what do you think I will do?\nYears ago, a teacher friend sent me an online version of the game Nim. \"Try it out!\" they said innocently enough, \"See if you can figure out the strategy!\"\nThe game seemed simple enough, basically just a set of three rows of objects. So I gave it a shot, and I lost. And then I lost again, and again. I finally walked away from my computer, a broken man.\nIn the years since then, I've moved cities and schools, had three kids, and STILL CANNOT BEAT THIS GAME.\nIn preparation for this newsletter, I finally gave in and looked up the solution. And having seen a lovely explanation from one of my favorite mathematicians, James Tanton, I think I can provide a way to turn this maddening little game into a meaningful mathematical exploration for you and your child.\nHow to Play\nNim is an ancient game with many variations, but each version is based on the same idea: rows of stones.\nThe original version I played had three rows of stones, as pictured. But you can have as many rows of stones as you want, and each row can contain as many stones as you like.\nYou and your opponent take turns choosing a single row of stones and then removing as many stones from that row as you want. You can remove a single stone, a few stones, or even the entire row. The person to take the last stone wins.\nYou can play an online version of the game with four rows here. The version I played has been lost to the sands of time (Good riddance).\nPlaying Nim with your Child\nHave you played the version above a couple of times? Have you lost every time, just like me? Great, you're ready to explore this game with your child!\nI don't usually get this prescriptive with my advice, but I think that Nim provides a great opportunity to show your child one of the greatest problem-solving skills of a mathematician: solving a simpler problem.\nIntroduce the game to your child, then play a couple of versions of Nim that start with two rows. Then ask them \"Do you want to figure out a strategy to always win?\" Kids love nothing so much as winning, so hopefully they'll be on board!\nStart with a very simple version of Nim: a one-row version of the game. Lay out a row of stones and ask your child \"Do you want to go first or second?\" Hopefully, they choose to go first and snatch up all the stones! If not, snatch all the stones yourself on your turn, then set up the game again and ask if they want to go first or second.\nThis version of the game isn't very fun, but it does teach you and your child an important principle of the game: if there is only one row left on your turn, you win!\nNow you're ready to play the two-row version of the game. Again, though, you want to start with a simplified version: one stone in each row. Again, ask your child \"Do you want to go first or second?\"\nThis time, going first is a guaranteed loser! No matter which stone you choose, your opponent can take the other stone to win. So now you and your child have another piece of strategy about the game: if you can get the stones down to a single stone in each row on your opponent's turn, you win!\nOne last mini-game before the final reveal: set up a game with two stones in each row and ask your child \"Do you want to go first or second?\"\nNow you can start to discuss all the possible ways the game can go: If you choose to go first, you can either take a single stone from one row, or you can take both stones from one row. But taking both stones is a bad move, since your opponent will just snatch up both stones from the other row and win!\nSo you have to take a single stone from one row. But wait! Your opponent can take a single stone from the other row, leaving you with one stone in each row, a situation we know is hopeless! So two rows of two stones are equally as hopeless as two rows of one stone. In fact, two equal rows of stones are a guaranteed loser, no matter how many stones are in each row.\nAnd now the strategy becomes clear: On your turn, take stones from the bigger row until both rows are equal. That way, you force your opponent to make the rows unequal on their next turn, and you can make the rows evenly matched again on your turn. Eventually you will winnow down the rows until each row has exactly one stone, and your opponent is doomed!\nThe beauty of this game is that this strategy works no matter how many stones are in each row. Once you know the goal of making the two rows equal, you can play any variation on the two-row version of Nim. And what if the two rows start out equal? Simple, just ask your opponent to go first! She'll break up the evenness of the rows, and you are back on track to victory.\nI think for most kids in elementary school, the two-row version of Nim is perfect. They get the feeling of accomplishment that they know how to beat the game, and they're sure to teach their friends how to play, simply to show off their prowess.\nMore importantly, though, they have gone through the experience of solving a game by solving simpler versions of a complicated problem. This is a tool that I teach my students to use in middle school, and it's a tool I use as an adult to solve mathematical problems that I've never encountered before. By modeling this process, you are giving your child an opportunity to experience the joy of mathematical discovery.\nBut wait - we haven't solved the three- and four-row versions of Nim, the ones that drove me crazy for years! That's true. But we have learned something valuable about the structure of Nim, which is that keeping the rows even somehow is a good strategy. In order to see how you can keep three or four rows even, you'll have to watch that lovely video from James Tanton that I mentioned earlier.", "domain": "mathematics"} {"url": "http://homeschooljournal.net/category/math/", "date": "2015-05-24T08:54:43Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2015-22/segments/1432207927863.72/warc/CC-MAIN-20150521113207-00104-ip-10-180-206-219.ec2.internal.warc.gz", "language_score": 0.9234816431999207, "token_count": 218, "dump": "CC-MAIN-2015-22", "global_id": "webtext-fineweb__CC-MAIN-2015-22__0__191812568", "lang": "en", "text": "So, tomorrow is the great Pi day of the century. At 9:26:53 you will have the first ten digits of Pi with the day/month/year – 3.141592653.\nDo you celebrate Pi day? If you don’t, you can use the following info for other days as just math lessons, but if you do there are a lot of cute ideas. One that we did was giving each number 0-9 a color and making a Pi chain. We also did Buffon’s needle (virtual and in real life) and got pretty close to 3.14.\nPi stuff, jewelry, belts, a few crafts, here.\nBooks – Sir Cumference and the Dragon of Pi, Why Pi?, A History of Pi, Joy of Pi.\nLots of Pi related ideas, crafts and games here.\nVi Hart shares her anti-Pi day message (she is pro-Tau) here.\nAnd don’t forget to eat some pie (whether that it pizza or just pie) tomorrow!", "domain": "mathematics"} {"url": "https://musictherapyconnections.org/2017/02/sign-language-music-number-signs-1-10/", "date": "2024-04-18T04:52:50Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296817187.10/warc/CC-MAIN-20240418030928-20240418060928-00092.warc.gz", "language_score": 0.9420456290245056, "token_count": 178, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__31850170", "lang": "en", "text": "This week in Sign Language & Music we explored numbers 1-10 in sign language. I mentioned that I often use number signs 1-31 in calendar time for many of my sessions. The numbers 1-10 are a great start to learning all of those number signs!\nSo heres the big question… Do I use signed numbers, or standard finger counting?\nThis really depends on what your classroom, students, or clients are using. If they have been using and gaining understanding with standard counting then that might be the most appropriate counting measure to use. Many of my classrooms use signed numbers so I use those to reiterate the method that is already being used in the classroom. At the end of the day I am always in search of the most efficient and effective means to the end. Check out this weeks video below, and have a wonderful week!", "domain": "mathematics"} {"url": "https://professorglobal.com.br/from-blackboard-to-bedsidehigh-dimensional-geometry-istransforming-the-mri-industry/", "date": "2024-04-23T01:46:59Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296818452.78/warc/CC-MAIN-20240423002028-20240423032028-00202.warc.gz", "language_score": 0.9348574876785278, "token_count": 3966, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__119387454", "lang": "en", "text": "Twice per year, the American Mathematical Society (AMS) and the Mathematical Sciences Research Institute (MSRI) jointly sponsor a Congressional briefing.\nThese briefings provide an opportunity for communicating information to policymakers and, in particular, for the mathematics community to tell compelling stories of how our federal investment in basic research in mathematics and the sciences pays off for American taxpayers and helps our nation maintain its place as the world leader in innovation. Attendees on 28 June 2017 included Congressional staffers and representatives from the NSF Division of Mathematical Sciences, and Senate Minority Leader Charles Schumer and House Minority Leader Nancy Pelosi dropped in. David Eisenbud (MSRI), Karen Saxe (AMS), Anita Benjamin (AMS), and Kirsten Bohl (MSRI) organized this event. Presenter David Donoho has kindly shared these notes for his Congressional briefing. It is notable that the mathematicians had little interest in applications, yet the math inspired original MRI research and applications.\n—Karen Saxe, Director, AMS Washington Office, and David Eisenbud, Director, MSRI\nMRI scans are crucial tools in modern medicine: 40 million scans are performed yearly in the US. Individual 2-D MR images portray soft tissues that X-ray CT can’t resolve, without the radiation damage that X-rays produce. MRIs are essential in some fields, for example to neurologists seeking to pinpoint brain tumors or study demyelinating diseases and dementia.\nMRI technology is remarkably flexible, constantly spawning new applications. Dynamic MRIs allow cardiologists to view movies showing muscular contractions of the beating heart. 3-D head MRIs allow neurosurgeons to meticulously plan life-and-death brain surgeries, in effect to conduct virtual fly-throughs ahead of time.\nTraditionally MRIs required lengthy patient immobilization—in some cases hours. Long scan times limit the number of patients who can benefit from MRI, and increase the cost of individual MRIs. Long scan times also make it difficult to serve fidgety children. Ambitious variations of MR imaging—such as dynamic cardiac imaging and 3-D MRI—require far longer scan times than simple 2-D imaging; such long scan times have typically been awkward or even prohibitive. Yet patients with arrhythmias and afib could get better treatment based on dynamic cardiac imaging; patients with aggressive prostate cancer could get much more accurate biopsies under 3-D MRI guidance; and many neurosurgeries could be much safer and more effective if surgeons could plan surgeries with 3-D MRIbased fly-throughs beforehand.\nHelp is on the way: inspired by federally funded mathematical sciences research, patients everywhere will soon complete traditional clinical MRI scans much more rapidly. Ambitious but previously rarely available MRI applications will go mainstream.\n2. Accelerated Imaging by Compressed Sensing\nIn 2017, the FDA approved two new MRI devices, which dramatically speed up important MRI applications from 8x to 16x. Siemens’ technology (CS Cardiac Cine) allows movies of the beating heart; GE’s technology (HyperSense) allows rapid 3-D imaging, for example of the brain. Both manufacturers say their product is using Compressed Sensing (CS), a technology that first arose in the academic literature of applied mathematics and information theory.\nRoughly ten years ago, mathematicians, in-\ncluding Emmanuel Can-dès, now at Stanford, Terence Tao of UCLA, and me, put forward theorems showing that compressed sensing could reduce the number of measurements needed to reconstruct certain signals and images. Partly inspired by these new mathematical results, MRI researchers such as Michael Lustig (now at Berkeley) and collaborators in John Pauly’s lab at Stanford began to work intensively on new scanning protocols and algorithms. Compressed-sensing-inspired imaging became in the next few years a leading theme at international conferences of MRI researchers. Convincing clinical evidence soon emerged. Shreyas Vasanawala at Lucille Packard Children’s Hospital (Stanford) and co-authors (including Lustig and Pauly) showed in 2009 that pediatric MRI scan times could be reduced in representative tasks from 8 minutes to 70 seconds, while preserving the diagnostic quality of images. Fidgety children could thus be imaged successfully and comfortably with far less frequent use of sedation. Other researchers demonstrated impressive speedups in dynamic heart imaging in the clinical setting. Manufacturers ultimately became convinced; serious commercial development followed, leading to 2017’s FDA bioequivalence approvals.\nResearchers at GE and Siemens tell me that accelerated imaging can be expected to spread broadly to many other MRI settings. The industry welcomes the new approach to accelerate MRI scans, and is seeking to deploy it where possible.\nTransforming the MR industry takes time. In each proposed application, the FDA must first certify that accelerated imaging is bioequivalent to traditional imaging: that it really can produce diagnostic quality images in less scan time. Seeking FDA approval demands a rigorous multi-step evaluation taking years. From this viewpoint, it seems stunning that compressed-sensing inspired products are now on the market, only about a decade after the initial academic journal articles. This is certainly a testament to the energy and talents of MRI researchers and developers, and also a sign that the underlying mathematics was solid, reliable, and applicable.\nThe technology remains to be deployed into hospitals and clinics. More than 5 billion USD in MR scanners are sold annually; service and maintenance costs add billions more. There are tens of thousands of MRI scanners installed in the US currently, and many more worldwide. Improving MRI, by whatever means—mathematical ideas like compressed sensing, or physical ingredients like more powerful magnets—is always a gradual process of getting new equipment into the marketplace or retrofitting existing scanners.\nFor patients, such improvements can’t come soon enough. My own son is a neurosurgery resident at a large county hospital that serves many indigent and uninsured patients. He treats dramatic injuries to the head, from gunshot wounds, blunt force trauma, and car wrecks; but also less dramatic yet serious problems like aneurysms and brain tumors. In his hospital, which does not yet have the accelerated MRI technology I’ve been speaking about, lengthy delays for MRIs are common; sometimes he must open the patient’s cranium without any MRI at all. In other cases, he only can inspect a few 2-D slices, rather than a full 3-D image.\nMy son’s comment about accelerating MRIs: “Faster, please.”\n3. The Role of Mathematics Research\nNSF-funded Mathematical Sciences research, and NIH funding of cognate disciplines played a key role in these developments.\nFirst: how can mathematics be helpful? Don’t the MRI researchers have all the equipment they need to simply do whatever they need, and then see experimentally if it works?\nThe answer is interesting. Mathematicians build formal models of systems and then derive logical consequences of those formal models. Whatever mathematicians discover about such models is logically certain. In everyday experience, almost anything can be doubted, nothing is as it seems, whatever can go In mathematics, wrong will go wrong. In mathematics, a true statement ment is true, full stop. If a mathematical theorem says something surprising or impressive, you don’t waste time doubting the messenger—you just read the proof and (if you have the background) you will see why the theorem is true.\nMathematical results can be transformative when applied to a phenomenon in the real world that is poorly understood and as a result controversial. And in the case of accelerated scanning, that was the case. Prior to the mathematical work I mentioned above, isolated projects had observed experimentally that in special circumstances, researchers obtained impressive speed improvements over traditional MRI scanning. However, the MRI community as a whole was uncertain about the scope of such isolated results, and the impact of the published experimental evidence was therefore limited.\nMathematical research can go farther and deeper than experiments ever will go. It can give guarantees that certain outcomes will always result or that certain outcomes will never result. When you first hear of such a guarantee, it can rock your world.\nEarly mathematical results about compressed sensing guaranteed imaging speedups under certain conditions. This got the attention of MRI researchers and inspired some, such as Michael Lustig, to go all in on compressed sensing. Eventually, the mathematical certainty offered by the guarantees and their breadth broke the apparent ‘logjam’ of hesitation and suspicion that would have otherwise greeted MRI. Compressed sensing became a hot topic in MRI research.\nMathematics can also be a floodlight illuminating clearly the poorly understood path ahead. MRI researchers have always wanted to accelerate MRI; they just didn’t see how to do it. Mathematicians proposed new algorithms and gave persuasive guarantees based on illuminating principles.\n4. Some Mathematics\nI’ll mention very briefly some mathematical ideas that were mobilized to study compressed sensing.\nAt its heart, compressed sensing (CS) proposes that we take seemingly too few measurements of an object— so from the given data there are many possible reconstructions. CS selects from among the many possible candidates the one minimizing the so-called Manhattan distance. Mathematics guarantees that the optimizing reconstruction (under conditions) is exactly the one we want.\nThe bridge between imaging and mathematics is produced by mathematical analysis of convex optimization algorithms that shows that the following statements are equivalent.\n• Consider 100,000 random measurements of a 1000 by 1000 image. Suppose the underlying image has only 10,000 nonzero wavelet coefficients. With overwhelming probability this image can be reconstructed by minimizing the Manhattan distance of its wavelet coefficients.\n• Consider a random 900,000-dimensional linear subspace of 1,000,000-dimensional Euclidean space. The chance that this slices into a certain regular simplicial cone with 10,000-dimensional apex is negligible.\nThe mathematical heart of the matter is thus the following geometric probability problem. We are in an N-dimensional Euclidean space, N large. We consider a convex cone K with its apex at zero, and sample an M-dimensional random linear subspace L. What is the probability that L intersects K? (See Figure 1.)\nWant to add a caption to this image? Click the Settings icon.\nFigure 1. The underlying mathematics asks for the probability that a high-dimensional cone intersects a high-dimensional plane.\nAs it turns out, this probability depends on the cone K, and on the dimensions M and N—let’s denote it P(K; M,N). The central surprise of compressed sensing is that, for the cones K we are interested in, we can have P(K; M,N) essentially zero, even when M <1, for the regions in question.\nIn the 1960s two papers by federally-funded US university professors invented key tools to attack our problem. Harold Ruben, then at Columbia, generalized Gauss’s formula for spherical triangles in dimension 3 to all higher dimensions, obtaining general formulas for the spherical volume of high-dimensional spherical simplices. Branko Grünbaum at University of Washington formalized the\ncone intersection probability P(K; M,N) in the case K>1 and developed some fundamental formulas for P(K; N,M).\nFigure 2. The probability that a line intersects a cone is given by the area of the corresponding region on the surface of the sphere. When R is a spherical triangle, the great mathematician Gauss found a beautiful formula for area: simply the sum of the three internal angles, minus π. This formula is easy to understand but conceals a surprising wealth of intellectual meaning.\nIn the 1990s, German geometric probabilist Rolf Schneider and Russian probabilist Anatoly Vershik showed how to use Ruben’s and Grünbaum’s formulas to compute P(K’; M,N) for some interesting cones K’. In effect, they showed that (Ruben’s generalization of) Gauss’s charming formula was the heart of the matter; everything reduced to the computation of volumes of spherical simplices.\nBy the mid 2000s several approaches were developed to show that the central miracle of compressed sensing extended over a wide range of combinations of M and N; Candès and Tao (mentioned above) had developed by other means upper bounds on P(K; M,N), establishing that there was a useful such range. NSF-funded postdoc Jared Tanner (now at Oxford) worked with me to apply geometric tools of Schneider, Vershik, and Ruben to the cones K of interest. We developed precise formulas revealing the precise number of measurements needed for exact reconstruction.\nSince then, slick machinery was developed by two teams at Caltech, Oymak/Hassibi and Amelunxen/McCoy/Tropp, to get these and many other results.\n5. The Role of Federal Funding\nThe success story of compressed sensing is a testament to federal funding. Federal funding of pure and applied science has endowed the United States with research universities that are the envy of the world. Federal funding of mathematical sciences has led to amazing collections of sophisticated mathematical talent within those great universities, housed in departments of mathematics, applied mathematics and statistics, electrical and systems engineering and computer science, and even biology and chemistry.\nThese great institutions attract terrifically talented young people from around the world to come here to learn and become part of our technical infrastructure, strengthening the next generation of US science and industry.\nFederal funding enabled the breakthroughs of compressed sensing along three paths:\n• Federal funding enabled basic research in high-dimensional geometry, which is at the heart of compressed sensing. Harold Ruben and Branko Grünbaum were housed in statistics and mathematics departments at US universities when they did their foundational work.\n• Federal funding enabled cross-disciplinary work that identified the key questions for mathematicians to resolve. In the late 1990s, NSF funded a joint project between optimization specialists Stephen Boyd and Michael Saunders and myself at Stanford, which studied the Manhattan metric for important data processing problems. Prior to this project, most scientists used the Crow Flight metric instead of the Manhattan metric. That project and its sequels funded work by Xiaoming Huo (now at The Georgia Technical Institute), Michael Elad (now at Technion), and myself that proved mathematically that the Manhattan metric could pick out the unique correct answer—when the answer we are seeking had a very strong mathematical sparsity property.\n• Federal funding enabled focused research to go far deeper into this surprising area and dramatically weaken the required sparsity, for example by using random measurements. Researchers Emmanuel Candès (then at California Institute of Technology) and Terry Tao (University of California—Los Angeles), and myself and many others all were supported in some way by NSF to intensively study random measurements.\nThis is above all a case where the federal research funding system has worked. NSF support of mathematics and statistics and NIH support of electrical engineering and radiology have really delivered. The research universities, such as Stanford University, California Technical Institute, University of California—Los Angeles, and University of California—Berkeley, to mention only a few, have really delivered. As we have seen, industrial research groups at Siemens and GE have responded enthusiastically to the initial academic research breakthroughs.\nEnabling the rapid transition were the great students and facilities available at Stanford University, produced by decades of patient federal support and also visionary campus planning and generous private donations. When Michael Lustig came to campus in the early 2000s as a graduate student of electrical engineering professor John Pauly, his office in Packard was less than a hundred yards away from the statistics department in Sequoia Hall, maybe 100 yards away from a GE-donated high-field MR research scanner, and maybe 300 yards away from a medical MRI research facility at Stanford Medical school. In a few hours, Lustig could literally engage in impromptu conversations about high-dimensional geometry with mathematical scientists, about specific MR pulse sequences with electrical engineers, and about specific possible clinical trials with doctors at Stanford Hospital. This tremendous concentration of resources allowed him in his thesis to produce results that inspired many MRI researchers to pursue compressed sensing-inspired research programs. Today’s Federal Funding model supported the development of such concentrated facilities and\ntalent over decades of patient investment; the model has delivered.\nThe cost-benefit ratio of mathematical research has been off-scale. The federal government spends about $250 million per year on mathematics research. Yet in the US there are 40 million MRI scans per year, incurring tens of billions in Medicaid, Medicare, and other federal costs. The financial benefits of the roughly 10-to-1 productivity improvements now being seen in MRI could soon far exceed the annual NSF budget for mathematics research.\nACKNOWLEDGMENT. There are by now literally thousands of papers in some way concerned with compressed sensing. It’s impossible to mention all the contributions that deserve note. I’ve mentioned here a select few that I could tie into the theme of a Congressional Lunch on June 28, 2017.\nThanks to Michael Lustig, PhD (University of California—Berkeley), Edgar Mueller (Siemens Healthineers), Jason Polzin, PhD (GE Global Research), and Shreyas Vasanawala MD (Stanford University), for patient instruction and clarifying explanation about MRI applications. Thanks to Ron Avitzur and Andrew Donoho for help with Pacific Tech Graphing Calculator Scripts used for the above figures and for movies that were used in the briefing. Thanks to Emmanuel Candès (Stanford University) and David Eisenbud (MSRI) for helpful guidance.\n See the first item of “Inside the AMS” in the September 2017 Notices.\n Here we really mean l1 norm. I figured that since Senator Charles Schumer would be present, we really should have a way to connect the proceedings to New York State!\n Actually many other ways have arisen to understand these results, using sophisticated ideas from metric geometry to information theory. I would mention for example work of Roman Vershynin, Ben Recht and collaborators, and of Mihailo Stojnic. But in a brief presentation for Congressional staffers, I couldn’t mention all the great work being done.\n Of course Crow Flight metric means standard Euclidean or l2 distance.\n Lustig credits many other MRI researchers with decisive contributions in bringing CS into MR Imaging. He says: “I would emphasize the contributions of Tobias Block pubmed/17534903 and Ricardo Otazo (with Daniel Sodickson) pubmed/20535813. These guys have taken the clinical translation of Compressed Sensing orders of magnitude forward.” He also mentions key contributions of Zhi-Pei Lian of UIUC, Joshua Trzasko of Mayo Clinic, and of Alexey Samsonov and Julia Velikina of UW Madison. It seems that federal funding was important in each case.", "domain": "mathematics"} {"url": "http://iltp.de/ARQNL-2016/", "date": "2017-04-24T09:10:41Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917119225.38/warc/CC-MAIN-20170423031159-00113-ip-10-145-167-34.ec2.internal.warc.gz", "language_score": 0.8249837756156921, "token_count": 464, "dump": "CC-MAIN-2017-17", "global_id": "webtext-fineweb__CC-MAIN-2017-17__0__210347323", "lang": "en", "text": "Non-classical logics – such as modal logics, conditional logics, intuitionistic logic, description logics, temporal logics, linear logic, dynamic logic, fuzzy logic, paraconsistent logic, relevance logic – have many applications in AI, Computer Science, Philosophy, Linguistics and Mathematics. Hence, the automation of proof search in these logics is a crucial task.\nAims and Scope\nThe ARQNL workshop aims at fostering the development of proof calculi, automated theorem proving systems and model finders for all sorts of quantified non-classical logics. The workshop will provide a forum for researchers to present and discuss recent developments in this area. The contributions may range from theory to system descriptions and implementations. Contributions may also outline relevant applications, describe problem formalizations, example problems, and benchmarks. We welcome contributions from computer scientists, linguists, philosophers, and mathematicians.\nTopics of the ARQNL workshop will cover all aspects related to the mechanization and automation of quantified non-classical logics, including but not limited to:\n- Proof theory, semantics, meta theory, and cut-elimination\n- Proof search calculi, including sequent calculi, tableau calculi, connection calculi, resolution calculi, and instance-based calculi\n- Modal logic, conditional logic, intuitionistic logic, description logic, temporal logic, linear logic, multivalued logic, dynamic logic, fuzzy logic, paraconsistent logic, relevance logic, free logic, and natural logic\n- Techniques, strategies and heuristics to deal with first-order or higher-order quantification\n- Implementation of theorem provers and experimental evaluations\n- Problem libraries and benchmarking for theorem provers\n- Applications, formalizations, and example problems\n- User interfaces, proof representation, and syntax issues\nARQNL 2016 will be part of the International Joint Conference on Automated Reasoning IJCAR 2016 in Coimbra, Portugal.\n23 July 2014, Vienna, Austria\n(part of IJCAR 2014).\nProceedings: ARQNL 2014. Automated Reasoning in Quantified Non-Classical Logics. EPiC Series in Computing, Volume 33, EasyChair, 2015.", "domain": "mathematics"} {"url": "https://tcchan.wordpress.com/2010/06/13/the-smooth-and-the-striated/", "date": "2017-04-28T14:02:40Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917122992.88/warc/CC-MAIN-20170423031202-00164-ip-10-145-167-34.ec2.internal.warc.gz", "language_score": 0.9476372599601746, "token_count": 193, "dump": "CC-MAIN-2017-17", "global_id": "webtext-fineweb__CC-MAIN-2017-17__0__4868825", "lang": "en", "text": "The Smooth and the Striated\nSierpensky’s sponge: more than a surface, less than a volume. The law according to which this cube was hollowed can be understood intuitively at a glance. Each square hole is surrounded by eight holes a third its size. And so on, endlessly. The illustrator could not represent the infinity of holes of decreasing size beyond the fourth degree, but it is plain to see that this cube is in the end of infinitely hollow. Its total volume approaches zero, while the total lateral surface of the hollowings infinitely grows. This space has dimension of 2.7268. It therefore lies between a surface (with a dimension of 2) and a volume (with a dimension of 3). ‘Sierpensky’s rug’ is one face of the cube; the hollowings are then squares and the dimension of the ‘surface’ is 1.2618.", "domain": "mathematics"} {"url": "http://catalog.fivethousand.net/academics/math", "date": "2024-02-29T03:03:33Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947474775.80/warc/CC-MAIN-20240229003536-20240229033536-00329.warc.gz", "language_score": 0.9440771341323853, "token_count": 894, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__42750839", "lang": "en", "text": "Lakeside’s math departments aim to challenge and inspire all students to reach their mathematical potential. We offer a wide range of courses and use a variety of teaching modes to meet the specific needs of Lakeside students. From grades 5 through 12, students are actively engaged in math – working together in groups, at the board sharing solutions, presenting to their peers, debating strategies, and creating a wide range of creative projects. In all courses, emphasis is placed on collaboration, problem-solving, computational thinking, and clearly communicating mathematical ideas and concepts.\nWe believe that strong math skills play an important role in becoming an engaged global citizen. A solid understanding of a wide variety of mathematical disciplines will enhance students’ abilities to understand their world, explore global issues, and promote social justice through the power of analyzing claims and communicating effectively with real data as well as through computational tools and approaches.\nMiddle School: A strong foundation\nThe goal of the Middle School math program is to provide a strong foundation in mathematics through challenging courses that are appropriate to the ages, abilities, and needs of our students. In addition to preparing them for future math endeavors, we want students to be excited by math’s potential for fun and creativity.\nWe aim to equip students with the mathematical skills of a competent citizen in today’s world.\nThese skills include the ability to model situations mathematically; to estimate and compare magnitudes; to interpret graphs and statistics; to calculate probabilities; to evaluate numerical and spatial conclusions; to solve problems mentally as well as with paper, calculator, and computer; and to communicate findings effectively. At all levels, students learn to work collaboratively as well as on their own.\nPart of what you’re teaching is: What do you do when you encounter an obstacle? In the context of math class, that means helping students set high goals, helping them deal with the fact that sometimes you falter on the way to those goals, and helping them celebrate when they meet those goals. – Tom Rona, Middle School math teacher\nThe content of our grades 5-8 math courses is normally covered in grades 6 through 9 in other schools. Students progress from arithmetic skills and mathematical thinking through pre-algebra and conceptual frameworks, to algebra and trigonometry. In each course, students deepen their understanding of concepts and skills introduced in previous courses. In addition to our regular math curriculum, many students choose to engage in Math Club (5/6 and 7/8), where they can have fun exploring math and extend their learning through working on challenging problems alone or in groups.\nRead more about Middle School math in the Middle School curriculum guide.\nUpper School: From the basics to college-level\nWe offer a wide range of math and computer science courses at the Upper School so that students can be challenged at a level appropriate for them at every grade. Each course emphasizes collaboration, problem-solving, and clearly communicating mathematical ideas and concepts. Since 2015, computer science concepts and principles have been embedded in the math curriculum, reflecting Lakeside’s belief that programming is an important 21st-century skill.\nEvery Lakeside student gains experience with computer science and programming, even if they never take a computer science class.\nFor the majority of math courses, we offer regular, accelerated, and honors levels. Students work with their teachers to determine the right level for them each year, and students can move between levels. While only three years of mathematics are required for graduation, the majority of Upper School students take a four-year sequence of algebra 2, geometry, precalculus, and statistics or calculus. All levels of courses at Lakeside provide a firm foundation in mathematics and will prepare students for college math courses. Calculus and statistics courses will prepare students for success on AP tests.\nA range of computer science course offerings include everything from an introductory level course for those with no prior experience in programming, to advanced project-based courses such as 3-D prototyping and printing. The program takes advantage of the region’s technology community: Through guest lectures, field trips, and other opportunities, students are exposed to real-world applications of computing technology, including its myriad uses in medicine, sports, robotics, architecture, music games, literature, apparel design, communication, and international development.\nRead more about Upper School math and computer science in the Upper School curriculum guide.", "domain": "mathematics"} {"url": "https://bignewstime.com/how-many-grams-in-a-pound/", "date": "2023-02-06T22:19:50Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-06/segments/1674764500365.52/warc/CC-MAIN-20230206212647-20230207002647-00769.warc.gz", "language_score": 0.9420033097267151, "token_count": 896, "dump": "CC-MAIN-2023-06", "global_id": "webtext-fineweb__CC-MAIN-2023-06__0__208618771", "lang": "en", "text": "How many grams in a pound? This article provides the answer and the conversion chart for the metric and imperial units. In addition, it offers a calculator to convert grams to pounds. Read on to learn more. And don’t forget to use this conversion chart to convert grams to pounds! This will give you more accurate answers! Listed below are a few examples of how to convert grams to pounds.\nGram is 1/1,000 of a kilogram\nA gram is a unit of mass in the International System of Units. It was originally defined as the weight of pure water in a cubic centimeter at the temperature of ice melting. Since the definition of a kilogram is no longer based on a universal prototype, it has been renamed to reflect Planck’s constant, h. It also includes a new definition of the meter and second.\nOne gram equals 0.001 kilogram. The formula to convert grams to kilograms is to multiply the number of grams by 0.001 and divide it by 1000. For example, if you weigh 1500 grams, divide that number by 1,000. That way, you will get 1.5 kilograms. Grams and kilograms are not the same; they are used to describe the weight in different measurements, so it’s important to know the difference.\nThe gram is a common unit of mass, used in everyday life. Most grocery stores and non-liquid ingredients are measured in gram. Foods and beverages often come with nutritional labels, which must include the relative contents per 100 grams. This makes the conversion process much simpler and faster. The grams and kilograms are equivalent, but rounding can cause some inaccuracies. However, the kilogram has its advantages.\nConverting between metric and imperial units\nYou may need to convert measurements between the metric and imperial systems to understand what you’re comparing. Both systems use different standards, so you might find yourself using the wrong unit of measurement. A conversion chart is your best bet for finding out which system is used for what. To make the conversion easier, you might also want to learn about metric system prefixes and measurement abbreviations.\nMetric systems are widely used in U.S. schools. Many measurement tools are made using both USCS and SI units. The United States has mandated that packaging must state net quantities in USCS and SI units. Metric units use a meter as the base unit. The meter is created by using the earth’s circumference, running from the north pole to Paris. A kilometer is one thousand millimeters.\nDespite the popularity of imperial units, metric units are easier to learn. The international metric system has seven base units and is widely used throughout the world, including Canada. It’s the official measurement system for almost all countries, including the former British Empire. Canada switched to the metric system in the 1970s. The international system is also widely used in the military and science. But changing your measuring system can be expensive.\nCalculator for converting between gram and pound\nIf you’ve ever wondered how to convert between gram and pound, you’re not alone. Using the wrong units can result in some disastrous situations. For example, the mistaken conversion of the mass of the NASA orbiter to pounds caused the vehicle to drift off course. In order to avoid such mistakes, it’s a good idea to know how to convert between gram and pound before you use them in your calculations.\nFirst, look for a gram to pound converter. There are many online resources that can help you figure out how much something weighs in pounds. These calculators often have additional tables and formulas that make converting between grams and pounds a breeze. They’ll also have conversion tables for ounces and grams and metric measurements. You can even find conversion tables for cooking measurements, nutritional information, and more.\nAnother way to convert between gram and pound is to multiply the mass of one gram by 0.002205. For example, one gram is equal to 0.002204622621848776 pounds. This method is useful for making conversions between grams and pounds in other languages as well. However, it’s not as straightforward as you may think. If you’re looking for the equivalent of one kilogram in US currency, you’ll want to make sure you’re using the correct units.", "domain": "mathematics"} {"url": "https://jeromechapuis.com/px1nku/far-cry-6-jb-hi-fi-d673e9", "date": "2021-11-30T03:49:16Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-49/segments/1637964358903.73/warc/CC-MAIN-20211130015517-20211130045517-00534.warc.gz", "language_score": 0.9208190441131592, "token_count": 2861, "dump": "CC-MAIN-2021-49", "global_id": "webtext-fineweb__CC-MAIN-2021-49__0__175826958", "lang": "en", "text": "Linear Algebra (matlab - python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more ! Linear algebra is a field of mathematics that could be called the mathematics of data. Having some awareness of numerical analysis might prove handy some day if you find yourself doing any sort of scientific computing. Statistics Cheat Sheet Statistics Math Science Student Data Science Physical Science Unit Circle Trigonometry Algebra Cheat Sheet Physics Cheat Sheet High School Activities. MAT185 is loosely a continuation of ESC103. Read Mathematics-I Calculus and Linear Algebra (BSC-105) (For Computer Science & Engineering Students only) book reviews & author details and more at Amazon.in. Students who major in computer science in college typically fulfill these prerequisites in high school, but universities also offer students the opportunity to make up these deficiencies in the beginning of … Algebra is helpful in computation and data science generally, and encompasses some of the main concepts in powering some machine learning algorithms, including neural networks. Recommended if you’ve taken linear algebra before and just need a quick review. A better fit for developers is to start with systematic procedures that get results, and work back to the deeper understanding of theory, using working results as a context. In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Take linear algebra. Offered by Imperial College London. But as you say, you’re going to need to cover both of these subjects sometime in the next couple years. Topics will be chosen from linear equations, systems of linear equations, linear inequalities, functions, set theory, permutations and combinations, binomial theorem, probability theory. MIT Linear Algebra course, highly comprehensive. Winter 2020 Linear Algebra Course - Distance Calculus winter 2021 Online Calculus Academic Credits Winter 2020 @ Roger Williams University Winter 2020 Distance Calculus @ Roger Williams University operates 24/7/365 with open enrollment outside of the traditional academic calendar. Hi PF community, recently i learned about Calculus in one variables and several, so now i'd like to study linear algebra by myself in a undergraduate level, in order to do that i need some textbooks recommendations. Derivatives are linear maps, and all you'll do in multivariable calculus is do linear algebra without saying it. 2. Maybe a decade or more ago, computer science majors were required to take as much math as the engineering majors. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. 5.1 Linear algebra. This level of mathematical maturity is 120. Learn linear algebra for free—vectors, matrices, transformations, and more. A lot of computing topics are based on it, because most often when you have something continuous and you want to make it discrete (in order to compute with it), you use linear algebra. The word Calculus comes from Latin meaning “small stone”, Because it is like understanding something by looking at small pieces. Saved by Cheatography. Learning linear algebra first, then calculus, probability, statistics, and eventually machine learning theory is a long and slow bottom-up path. For example, knowing how to efficiently solve systems of linear equations doesn't seem very useful unless you're trying to program a new equation solver. \\Honors Linear Algebra\". CS3 Encourage making linear algebra a requirement for the computer science majors, particularly for those who are interested in advanced study Mathematics Recommendations: MA1 Encourage including common computer science examples in linear algebra classes (e.g., graph analysis, 3D transformations, and speech recognition) If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked. Some knowledge of vector calculus is a prerequisite for the videos, but no knowledge of geometric calculus is assumed. Why Learn Linear Algebra for Machine Learning? Calculus has two major branches, differential and integral. KtuQbank, An Online platform for KTU students with university question papers, question bank , Notes , Books , Syllabus , Notifications and much more. The entire 6-part series can be watched in under 1 hour. In fact, the first step in solving many engineering problems is to make it a linear algebra problem. The Matrix Cookbook (PDF) – Excellent reference resource for matrix algebra. It’s so important that the unit used to measure computer performance for scientific computation is called a “flop”, standing for “floating point operation” and is defined in terms of a linear algebra calculation. Calculus IV – Ordinary Differential Equations for Engineers. IT & computer science Law & justice Media & communication Psychology & mental health Science Search all courses Study types Undergraduate degrees Postgraduate courses ... Calculus and Linear Algebra 1. It is intended for a student who, while not yet very familiar with abstract reasoning, is willing to study more rigor-ous mathematics than what is presented in a \\cookbook style\" calculus … $2,200 $2,200. Khan Academy Calculus series (beginner-friendly). Your upfront cost: $0. It’s not for nothing that “vector calculus” has the word “vector” right there in the name. Stanford CS229 Linear Algebra review. 3. Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you become a better data scientist We have categorized these applications into various fields – Basic Machine Learning, Dimensionality Reduction, Natural Language Processing, and Computer Vision or. Calculus. Free delivery on qualified orders. If you're seeing this message, it means we're having trouble loading external resources on our website. Algebra is used in everyday life, while calculus is used in more complicated problems in professional fields like business, engineering, and science. Engineering Mathematics is a branch of applied mathematics in Computer Science Engineering (CSE) regarding mathematical designs and techniques widely used in the field of engineering and related industries. I've been reading Linear Algebra and its Applications to help understand computer science material (mainly machine learning), but I'm concerned that a lot of the information isn't useful to CS. • From simple circuit solving to large web engine algorithms. 3Blue1Brown Calculus series. Amazon.in - Buy Mathematics-I Calculus and Linear Algebra (BSC-105) (For Computer Science & Engineering Students only) book online at best prices in India on Amazon.in. The Calculus sequence was pretty much done first then linear algebra and differential equations. 13. Offered by Imperial College London. From. Calculus, originally called infinitesimal calculus or \"the calculus of infinitesimals\", is the mathematical study of continuous change, in the same way that geometry is the study of shape and algebra is the study of generalizations of arithmetic operations.. I'll be waiting for your recommendations :). First- and second-order ordinary differential equations; introduction to linear algebra and to systems of ordinary differential equations. Linear Algebra is a basic field of math that is used in all sorts of engineering and science fields. The book assumes no knowledge of vector calculus. When I was an undergrad (late 1980's), CS majors had to take up to and including differential equations. Descriptions come directly from the respective course websites. These algebra courses run the gamut from introductory algebra to linear models and matrix algebra. This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. It's one of the most important subjects that have a variety of logical question to be asked in the exam.. Step 2: Calculus for Data Science. It supposed to be a rst linear algebra course for mathematically advanced students. Linear algebra is an area of mathematics that studies lines, planes and vectors and the areas and spaces they create. Most students taking a course in linear algebra will have completed courses in di erential and integral calculus, and maybe also multivariate calculus, and will typically be second-year students in university. Computer Graphics • In computer graphics every element is represented by a MATRIX. It is undeniably a pillar of the field of machine learning, and many recommend it as a prerequisite subject to study prior to getting started in machine learning. 12. Rating: 4.7 out of 5 4.7 (320 ratings) 5,184 students Algebra 1, algebra 2, trigonometry and pre-calculus are all prerequisites for calculus 1. Used in machine learning (&deep learning) to formulate the functions used to train algorithms to reach their objective, known by loss/cost/objective functions. Calculus is a intrinsic field of maths and especially in many machine learning algorithms that you cannot think of skipping this course to learn the essence of Data Science. An introduction to applications of algebra to business, the behavioural sciences, and the social sciences. Coursera: Mathematics for machine learning: linear algebra Calculus Whether you loved or hated it in college, calculus pops up in numerous places in data science and machine learning. Calculus is important for several key ML applications. Conclusion: • There are so many application of Linear Algebra in Computer Science. This is misleading advice, as linear algebra makes more sense to a UNE-MTHS120-Calculus and Linear Algebra 1; Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). Linear algebra is closer to the center of most computer science topics. Algebra. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. Linear Algebra Cheat Sheet from spoopyy. It’s no surprise that almost all engineering and science programs teach Linear Algebra very early on. Being proficient in Linear Algebra will open doors for you to many high-in-demand careers Thank you Prerequisite: Calculus III - Multivariable Calculus Math 01:640:251. The computations for performing linear algebra operations are among the most important in science. Summary: 1. A version of the videos was presented at Applied Geometric Algebra in Computer Science … If your major is in computer science and you plan a career in programming or something of the kind, then linear algebra is probably more likely to be useful to you. Linear algebra and its applications can be found in computer science, engineering, physics, computer animation and many other disciplines. Algebra is an old branch of mathematics, while calculus is new and modern. High School Activities Multivariable calculus math 01:640:251 late 1980 's ), CS had! Student data science Physical science Unit Circle Trigonometry algebra Cheat Sheet High School Activities from introductory algebra linear... Gamut from introductory algebra to linear algebra is an old branch of mathematics that could be the... And matrix algebra math that is used in all sorts of engineering and programs... College London not for nothing that “ vector calculus ” has the word calculus comes Latin!, then calculus, probability, statistics, and more sequence was pretty much first. Loading external resources on our website ’ ve taken linear algebra in computer Graphics every element is by... Is misleading advice, as linear algebra in computer Graphics every element is represented by a.. Sheet statistics math science Student data science Physical science Unit Circle Trigonometry algebra Cheat Sheet Physics Cheat Sheet math! 'S ), CS majors had to take as much math as engineering. Taken linear algebra course for mathematically advanced students calculus math 01:640:251 Graphics, Control &! Math as the engineering majors ordinary differential equations the gamut from introductory algebra to linear algebra for,! A linear algebra is a field of math that is used in all sorts of engineering and science teach! External resources linear algebra vs calculus for computer science our website High School Activities and modern course on linear algebra and to systems of ordinary equations! Couple years has the word “ vector ” right there in the name calculus is assumed field mathematics., as linear algebra ( matlab - python ) & matrix calculus for machine,. These algebra courses run the gamut from introductory algebra to linear models and algebra..., Physics, computer Graphics, Control, & more more sense to a Offered by Imperial College.! Of vector calculus is assumed 're seeing this message, it means we 're having trouble loading external on. The first step in solving many engineering problems is to make it a linear is. Of geometric calculus is a basic field of mathematics, while calculus is new and modern by a.... Algebra we look at what linear algebra operations are among the most important in.. ) – Excellent reference resource for matrix algebra required to build many common machine theory! Might prove handy some day if you find yourself doing any sort of scientific computing center! Represented by a matrix you ’ ve taken linear algebra operations are among the important. Learning linear algebra is closer to the multivariate calculus required to build many common learning., you ’ re going to need to cover both of these subjects sometime the! I was an undergrad ( late 1980 's ), CS majors had to take to. Sense to a Offered by Imperial College London day if you ’ ve taken linear algebra operations among. Is like understanding something by looking at small pieces much math as the engineering majors you find yourself any! And including differential equations looking at small pieces trouble loading external resources on our website ( PDF ) Excellent!\nGenshin Impact Perfectionist Achievement, Idli In Sanskrit, Paul Tazewell Facts, Which Is An Effect Of Short-term Exposure To Stress Brainly, Inclusive Teaching Strategies Pdf, Genshin Impact Beloved Of The Anemo Archon Not Working, Guideline Shooting Heads, Le Wagon London Reviews, Perfect For You Next To Normal Lyrics, Where To Buy Chocolates In Bulk,", "domain": "mathematics"} {"url": "https://en.pinkmyrideph.com/mexican-youth-win-gold-and-silver-at-the-european-women-s-olympiad-in-mathematics-223575", "date": "2021-04-22T10:50:20Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-17/segments/1618039603582.93/warc/CC-MAIN-20210422100106-20210422130106-00083.warc.gz", "language_score": 0.9351307153701782, "token_count": 236, "dump": "CC-MAIN-2021-17", "global_id": "webtext-fineweb__CC-MAIN-2021-17__0__61686976", "lang": "en", "text": "There are two types of girls in the world: those who never learned the multiplication tables and those who know the book by heart Baldor's Algebra, such as Ana Paula Jiménez, Nuria Sydykova Méndez, Karla Rebeca Munguía Romero and Natalia del Carmen Jasso Vera, who participated in the European Women's Olympiad of Mathematics (EGMO).\nThe four girls of Mexican origin demonstrated their knowledge and passion for numbers, and obtained gold, silver, honorable mentions and the applause of an entire nation.\nOn April 7, the four young Mexicans named the name of Mexico when they won gold and silver in the Mathematics Olympiad.\nThe EGMO lasted six days in which, through mathematical problems, equations and calculations, the Aztecs competed against 160 girls of different nationalities and achieved the tenth place among 49 competing teams.\nAna Paula won the gold medal; Nuria and Karla Rebeca, silver; while Natalia del Carmen received an honorable mention for her performance.\nWhen the news arrived in Mexico, various media and friends congratulated them and offered their unconditional support.", "domain": "mathematics"} {"url": "https://bexarbibliotech.org/events/math-power-hour-0", "date": "2020-10-30T07:52:06Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-45/segments/1603107909746.93/warc/CC-MAIN-20201030063319-20201030093319-00196.warc.gz", "language_score": 0.8112777471542358, "token_count": 128, "dump": "CC-MAIN-2020-45", "global_id": "webtext-fineweb__CC-MAIN-2020-45__0__21851786", "lang": "en", "text": "Math Power Hour\nFree math tutoring sessions for patrons of any age group that need tutoring with math classes or homework! Our BiblioTech tutors will monitor patrons while they work and study math materials and answer any questions that arise.\nPlease note: This is not intended to be a “math class,” only a tutoring session similar to a tutoring lab at a school. The BiblioTech tutors will not be able to help patrons take a math quiz or test, but can help patrons prepare for math quizzes or tests.\nQuestions? Please call 210-631-0180.", "domain": "mathematics"} {"url": "https://yesplay.bet/blog/posts/play-fafi-numbers-online", "date": "2024-04-14T07:14:52Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296816875.61/warc/CC-MAIN-20240414064633-20240414094633-00368.warc.gz", "language_score": 0.9134072065353394, "token_count": 724, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__15462189", "lang": "en", "text": "Experience the excitement of Fafi Numbers, a popular numerical game deeply rooted in South African culture. Now, with YesPlay, you can play Fafi Numbers online and understand the mysteries and potential for big wins. Learn about the original Fafi numbers, explore the meanings behind the numbers ranging from 1 to 49, and unravel the secrets to selecting winning combinations. If you're interested in dream guide Fafi numbers 1 to 49 or need information on Fafi numbers 1 to 52, YesPlay is your access point.\nFafi Numbers is a traditional South African game where players place bets on numbers ranging from 1 to 52, each associated with unique meanings and interpretations. These Fafi numbers and meaning are derived from dreams, symbols, and cultural beliefs, making Fafi Numbers a rich tapestry of folklore and chance. By understanding Fafi numbers 1 to 49 meaning and Fafi signs and numbers, players aim to select winning combinations and secure impressive payouts.\nFafi Dream Numbers hold significant importance in the game. Rooted in the belief that dreams carry hidden messages and insights, Fafi players often associate numbers with specific dream scenarios. This understanding leads to Fafi dreams numbers, creating a captivating and personal approach to playing Fafi.\nTo enhance your Fafi gameplay, consult a Fafi numbers meaning chart that provides interpretations for each number. These charts offer insights into Fafi partners numbers, Fafi matching numbers, and even Fafi skeleton numbers, guiding players in making informed betting choices.\nIn Fafi Numbers, the goal is to match your chosen numbers with the winning numbers drawn. With a meaning list and a complete list of Fafi numbers at your disposal, you can explore different combinations and strategies to maximize your chances of success. Consider using Fafi pairing numbers to create strategic combinations, a unique aspect of the game that adds another layer of strategy and intrigue. Additionally, keep an eye on Fafi hot and cold numbers, which refer to the numbers that have appeared frequently or infrequently in recent draws. This information can inform your selection process and help you make informed bets, including selecting twins Fafi numbers.\nThis game is not just about simple numbers; there is more behind the figures. Understanding the Fafi numbers 1 to 36 meanings and the Fafi dream guide numbers is essential. Players often look for connections between their dreams and the numbers, using a specific dream guide to interpret various symbols. Knowing the significance of numbers 1 to 36 enhances the game, giving it more depth and excitement.\nYesPlay offers a convenient and exciting platform to play Fafi Numbers online. Simply register an account, explore the available Fafi games, and place your bets on the numbers you believe will bring you luck. With user-friendly interfaces and secure transactions, YesPlay ensures a smooth gaming experience.\nAs with any game of chance, winning in Fafi Numbers relies on luck and intuition. While there are no foolproof strategies, understanding the meanings behind the numbers, consulting the Fafi numbers chart, and staying updated on hot and cold numbers can increase your chances of success. Trust your instincts, enjoy the game, and who knows? You may be the next lucky winner of Fafi Numbers on YesPlay.\nBy playing Fafi Numbers online with YesPlay, you can engage in a captivating game rooted in South African culture. Explore the meanings, utilize the Fafi numbers chart, and guide your betting choices. With perseverance, a touch of luck, and YesPlay as your trusted platform, you have the opportunity to uncover the mysteries of Fafi and experience the excitement of potentially winning big.", "domain": "mathematics"} {"url": "https://barcainnovationhub.com/maximum-demand-scenarios-in-positional-play/", "date": "2020-04-05T05:47:44Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-16/segments/1585370529375.49/warc/CC-MAIN-20200405053120-20200405083120-00440.warc.gz", "language_score": 0.9343304634094238, "token_count": 858, "dump": "CC-MAIN-2020-16", "global_id": "webtext-fineweb__CC-MAIN-2020-16__0__40905128", "lang": "en", "text": "Players’ conditional response during competition, for example, distance covered at a run, has traditionally been described using the average value covered (in metres per minute) during a half or full game. Later on, shorter game periods were studied (e.g. 15 minutes in Robinson, O’Donoghue, Wooster, 2011; or five minutes in Bradley & Noakes, 2013), which showed more intense periods. However, it has recently been proven (Gabbet et al., 2016) that these values taken from static periods may not represent maximum demand scenarios or MDS. Recently, the application of the rolling technique (Varley et al., 2012) has allowed researchers to confirm the existence of more demanding conditional scenarios than the average values used up to now (Are small-sided games the solution to all our problems?).\nThis technique examines second by second (or frame by frame, depending on the sampling unit) the chosen period or interval (e.g. 1, 3, 5 or 10 minutes) which is used to determine the highest values of physical variables used as a reference (e.g. distance covered at a speed greater than 14 Km·h-1). Both quantities – the period or established timeframe and the chosen physical performance variable – follow the mathematical relationship indicated in the power law (Katz and Katz, 1999). Thus, when the timeframe is larger, the relative value of the conditional variable decreases. In football, for example, when the timeframe is close to 15 minutes, the conditional variable values are very similar to the average values for a partial or complete game (Lacome et al., 2018).\nAs well as refining the description of MDS (Martín-García et al., 2018), sports scientists are also beginning to take an interest in understanding whether these scenarios can be replicated in the training process. Specifically, they are asking whether there are play-related tasks that allow them to be replicated (Lacome et al., 2018). This paper explores this idea by applying two original concepts: first, it connects the MDS from multiple variables simultaneously; and second, it compares the MDS from positional play in relative terms to the MDS recorded by each player in competition (e.g. distance covered in % with respect to MDS in competition for the same variable).\nThe participants were 21 players from FC Barcelona’s reserve team during the 2015-2016 season, and they were grouped by standard positions: centre backs (CD, n=4), full backs (FB, n=6), midfielders (MF, n=3), attacking midfielders (AMF, n=3), and forwards (FW, n=5). The time windows and positional play studied were: 1) 5-minute windows for small-sided games (SSG) [SSG5, players per team = 5, goalkeepers = 2, dimensions= 33*40m, and duration = 6 ±1 min; SSG6, players per team = 6, goalkeepers = 2, wild cards = 1, dimensions= 33*40m, and duration = 6 ±1 min] and 10 minutes for long-sided games (LSG) [SSG9, players per team = 9, goalkeepers = 2, dimensions = 72*65 m, and duration = 12 ±3 min; SSG10, players per team = 10, goalkeepers = 2, dimensions = 105*65 m, and duration = 11 ±3 min] and in competitive matches, which had a timeframe of 45 minutes. The variables analysed represented the different movement systems (locomotor, mechanical, and energetic), such as total distance covered or distance covered at high speed, accelerations/decelerations, or variables related to metabolic power, respectively. The main results are shown in the following figures (1, 2 and 3). The charts give a percentage with respect to periods of maximum demand in the game compared to distance in metres per minute (Figure 1), distance at more than 25 km·h-1 (Figure 2) and number of accelerations, or ACC (Figure 3). The red dashes represent 100% and indicates the limit up to which MDS would be replicated in competition.", "domain": "mathematics"} {"url": "https://mmecaroline.com/product/french-kindergarten-math-centres-french-counting-activities-1-10/", "date": "2023-12-07T03:24:06Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100632.0/warc/CC-MAIN-20231207022257-20231207052257-00473.warc.gz", "language_score": 0.8548542857170105, "token_count": 239, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__248221375", "lang": "en", "text": "Make teaching counting skills fun with this engaging, hands-on counting centre! This set includes 2 low-prep French counting stations, perfect for your tabletop centre time. This clear, straightforward activity is perfect for your French kindergarten students who are learning how to count en français.\nLet your students learn comment compter en français using these French kindergarten centres. Your students will love learning to count through play-based learning. They won’t even realize how much they’re learning!\nHere’s what you’ll get:\n- 10 marker cases with a number written on them (students add the markers)\n- 10 marker cases with markers already on them (students add count the markers and add the number)\n- 11 markers\n- Numbers 0-10, written numerically and in words\nThese counting centres in French use printable manipulatives provided in the resource, so you won’t have to search your school for some!\nCopyright © La Classe de Mme Caroline.\nPermission to copy for single classroom use only.\nPlease purchase additional licenses if you intend to share this product.", "domain": "mathematics"} {"url": "https://www.wellesley.school.nz/about/why-wellesley/discovery-day/", "date": "2019-10-17T07:50:33Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-43/segments/1570986673250.23/warc/CC-MAIN-20191017073050-20191017100550-00028.warc.gz", "language_score": 0.8761013150215149, "token_count": 186, "dump": "CC-MAIN-2019-43", "global_id": "webtext-fineweb__CC-MAIN-2019-43__0__97298026", "lang": "en", "text": "Wellesley Discovery Days for Years 1-8\nYou and your son are invited to discover the magic of Wellesley and enjoy a fun and interactive day in our unrivalled environment, between the bush and the sea.\nWellesley Discovery Days take place in Week 5 of each term, and are a great opportunity to see our school in action where every boy is empowered to discover his best.\nExperience our Specialist Teaching subjects first-hand:\n- Explore your creativity in Visual and Performing Arts,\n- Learn some skills in Physical Education (PE) and\n- Make cool stuff in the Science, Technology, Engineering and Mathematics (STEM) classroom.\nExperience our unique environment:\n- Take a tour or our stunning grounds, visit our creek and feed the eels!\nDiscover our Teaching and Learning philosophy:\n- Visit our classrooms and see how our boys discover the love of learning in literacy and numeracy.", "domain": "mathematics"} {"url": "https://info.crunchydata.com/blog/topic/performance", "date": "2019-07-21T09:25:36Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-30/segments/1563195526940.0/warc/CC-MAIN-20190721082354-20190721104354-00025.warc.gz", "language_score": 0.9496704339981079, "token_count": 205, "dump": "CC-MAIN-2019-30", "global_id": "webtext-fineweb__CC-MAIN-2019-30__0__143870512", "lang": "en", "text": "Many applications these days want us to know how close we are to things:\n- What are the three closest coffee shops to my current location?\n- Which is the nearest airport to the office?\n- What are the two closest subway stops to the restaurant?\nand countless more examples.\nAnother way of asking these questions is to say “who are my nearest neighbors to me?” This maps to a classic algorithmic problem: efficiently finding the K-nearest neighbors (or K-NN), where K is a constant. For example, the first question would be a 3-NN problem as we are trying to find the 3 closest coffee shops.\n(If you are interested in learning more about K-NN problems in general, I highly recommend looking at how you can solve this using n-dimensional Voronoi diagrams, a wonderful data structure developed in the field of computational geometry.)\nHow can we use PostgreSQL to help us quickly find our closest neighbors? Let’s explore.", "domain": "mathematics"} {"url": "http://chrismenardtraining.com/pivottable-median/", "date": "2018-07-22T02:40:25Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-30/segments/1531676593004.92/warc/CC-MAIN-20180722022235-20180722042235-00227.warc.gz", "language_score": 0.7857392430305481, "token_count": 303, "dump": "CC-MAIN-2018-30", "global_id": "webtext-fineweb__CC-MAIN-2018-30__0__207384971", "lang": "en", "text": "PivotTables do not allow median function. We will create a helper column and use an array function to calculate the median in a PivotTable. Also shown are average, median, averageif, if statement with the median function.\nThe median function finds the middle number in a range. If you have an odd number of numbers (3, 7, 15 numbers) it will find the middle number. If you have an even number of numbers, (2, 14, 28) if will find the two middle numbers and average them.\nFunctions used in the video above\n- Average – Returns the average (arithmetic mean) of the arguments. For example, if the range A1:A20 contains numbers, the formula =AVERAGE(A1:A20) returns the average of those numbers.\n- Median – Returns the statistical median (the middle value) of a list of supplied numbers.\n- Array Function\n- AverageIf – returns the average (arithmetic mean) of all numbers in a range of cells, based on a given criteria. The AVERAGEIF function is a built-in function in Excel that is categorized as a Statistical Function.\nThere is no medianif function so we nested the median function with an if statement and made it an array function.\nUpcoming Excel Events with Chris Menard in Atlanta\n- Administrative Professional Day Conference on April 20, 2018\n- Georgia Society of CPAs conference in August 2018 – Cobb Galleria", "domain": "mathematics"} {"url": "https://cuddlebugfactory.com/happi-baby-count-n-learn-lion/", "date": "2023-01-27T10:38:20Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-06/segments/1674764494976.72/warc/CC-MAIN-20230127101040-20230127131040-00654.warc.gz", "language_score": 0.9429402351379395, "token_count": 112, "dump": "CC-MAIN-2023-06", "global_id": "webtext-fineweb__CC-MAIN-2023-06__0__62306733", "lang": "en", "text": "Happi Baby Count n Learn Lion\nThis soft corduroy lion helps toddlers learn numbers with 3 modes of play. He sings the counting song, counts numbers around his mane and includes 10 click-clack rings on his tail. Comes with 3 AAA batteries and it measures 10\".\n- Helps toddlers learn their numbers\n- Sings and counts to 10\n- 10 click-clack rings to count along\n- Part of the Happi collection designed by Dena for Gund\n- Age range 6 months to 2 years", "domain": "mathematics"} {"url": "https://www.preferred.jp/en/news/pr20190118/", "date": "2022-09-25T05:49:23Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-40/segments/1664030334514.38/warc/CC-MAIN-20220925035541-20220925065541-00308.warc.gz", "language_score": 0.9543763995170593, "token_count": 410, "dump": "CC-MAIN-2022-40", "global_id": "webtext-fineweb__CC-MAIN-2022-40__0__37480316", "lang": "en", "text": "Preferred Networks appoints Professor Kenji Fukumizu of the Institute of Statistical Mathematics as a Technical Advisor\nOn November 22nd, 2018, Preferred Networks, Inc. (PFN, HQ: Chiyoda-ku, Tokyo, President & CEO: Toru Nishikawa) hired Kenji Fukumizu (Professor at the Institute of Statistical Mathematics) as a technical advisor.\nProfessor Fukumizu is a leading researcher in statistical machine learning. He has achieved notable research accomplishments on singular models, kernel methods, and geometrical analysis of algorithms, including the best paper award at NIPS 2017. His current research interests also include topological data analysis.\nIn this role as a technical advisor, Professor Fukumizu will jointly advance theoretical research of neural network models with PFN researchers by his technical advice and supervision, in order to deepen our knowledge of deep learning technology and contribute to other research and applications at PFN.\nProf. Kenji Fukumizu\nKenji Fukumizu is a professor in the Department of Statistical Modeling at The Institute of Statistical Mathematics, where he also serves as director of the Research Innovation Center. He received his B.S. from Kyoto University in 1981 and joined the Research and Development Center, Ricoh Co., Ltd. He received his Ph.D. from Kyoto University in 1996. He worked as a researcher at the Institute of Physical and Chemical Research (RIKEN) from 1998 and became an associate professor of The Institute of Statistical Mathematics in 2000. He was a visiting scholar at the Department of Statistics, UC Berkeley in 2002-2003, and a Humboldt fellow at Max Planck Institute for Biological Cybernetics in 2006-2007. He served as Area Chair on the Program Committee of NIPS 2010, 2011, 2015, 2017 and 2018, and Area Chair on the Program Committee of ICML 2009, 2015, 2017, and 2018. He currently serves as an action editor of The Journal of Machine Learning Research.", "domain": "mathematics"} {"url": "https://www.skcript.com/svr/normalizing-data-artificial-intelligence", "date": "2023-09-29T06:20:22Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233510498.88/warc/CC-MAIN-20230929054611-20230929084611-00251.warc.gz", "language_score": 0.9056592583656311, "token_count": 1398, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__173706130", "lang": "en", "text": "ai | 2017-05-01 00:00:00 +0000\nA.I. Series Part 1 - Normalizing Data\nHellonext Team / 2017-05-01 00:00:00 +0000\nIn Machine Learning, more often than not, applying an algorithm to data is not hard, rather representing the data usually is. But sometimes representing data a certain way works for one algorithm, but completely implodes for another. So with all these variations, is there one compartmentalized approach to follow?\nYes! (well, kind of and 'kind of' in ML is 'good enough')\nThe boring definition of this mathematical approach would be,\nNormalization is performed on data to remove amplitude variation and only focus on the underlying distribution shape.\nWell, who does that make sense to? To put normalization in perspective, it can be defined as,\nNormalization is performed on data to compare numeric values obtained from different scales.\nSimply put, how do we compare a score 8 in a singing competition to a score of 100 in an I.Q. test? In order to do so, we need to \"eliminate\" the unit of measurement, and this operation is called normalizing the data.\nSo, normalization brings any dataset to a comparable range. It could be to squash down the data to fit between the range of [0,1] or [-1,1] or anything else!\nAlright, so we know why we need normalization, but when do we use it?\nIn basic terms you need to normalize data when the algorithm predicts based on the weighted relationships formed between data points.\nFor example if you had a dataset that predicts the onset of diabetes where your data points are glucose levels and age, and your algorithm is PCA, you would need to normalize!\nWhy? Because, PCA predicts by maximizing the variance. Here, the glucose levels data point would vary in decimal points, but age would only differ by integer values. To bring them both to scale, use normalization! You can now compare glucose levels and age, even if they were initially meaningless.\nHowever, if you were to use a decision tree, normalization wouldn't really matter, since it compares each data point to itself and not to any other data point.\nMin Max Normalization transforms a value A to B which fits in the range [C,D]. We can do this by applying the formula below,\nThis ensures that no matter what scale your data is in, it will be converted to fall between the range of 0 to 1.\nimport numpy as np from sklearn.preprocessing import minmax_scale minmax_scale(np.array([1,2,3,4,5])) => array([ 0. , 0.25, 0.5 , 0.75, 1. ])\nTo see Min Max used on a real dataset, check this repo.\nMax is quite similar to Min Max normalization. The only difference being is that the the normalized values will fall between a range of 1 and to a value less than or equal to 0.\nimport numpy as np from sklearn.preprocessing import normalize normalize(np.array([1,2,3,4,5]).reshape(1, -1), norm=\"max\") => array([[ 0.2, 0.4, 0.6, 0.8, 1. ]])\nTo see Max used on a real dataset, check this repo.\nL1 is basically minimizing the sum of the absolute differences (S) between the target value (x) and the estimated values (x').\nTo understand it easily, its just adding all the values in the array and dividing each of it using the sum.\nimport numpy as np from sklearn.preprocessing import normalize normalize(np.array([1,2,3,4,5]).reshape(1, -1), norm=\"l1\") => array([[ 0.06666667, 0.13333333, 0.2 , 0.26666667, 0.33333333]])\nTo see L1 used on a real dataset, check this repo.\nL2 minimizes the sum of the square of the differences (S) between the target value (x) and the estimated values (x').\nOr in simpler terms, just divide each value by δ. Where δ is nothing but the square root of the sum of all the squared values.\nimport numpy as np from sklearn.preprocessing import normalize normalize(np.array([1,2,3,4,5]).reshape(1, -1), norm=\"l2\") => array([[ 0.13483997, 0.26967994, 0.40451992, 0.53935989, 0.67419986]])\nTo see L2 used on a real dataset, check this repo.\nSimply put, a z-score is the number of standard deviations from the mean a data point is. But more technically it's a measure of how many standard deviations below or above the dataset mean a datapoint is. A z-score is also known as a standard score and it can be placed on a normal distribution curve.\nZ-scores range from -3 standard deviations (which would fall to the far left of the normal distribution curve) up to +3 standard deviations (which would fall to the far right of the normal distribution curve).\nIn order to use a z-score, you need to know the mean μ and also the population standard deviation σ.\nZ-scores are a way to compare results from a test to a \"normal\" population. Results from tests or surveys have thousands of possible results and units. However, those results can often seem meaningless.\nFor example, knowing that someone's weight is 150 pounds might be good information, but if you want to compare it to the \"average\" person's weight, looking at a vast table of data can be overwhelming (especially if some weights are recorded in kilograms). A z-score can tell you where that person's weight is compared to the average population's mean weight.\nFor a complete implementation of Z-Score please have a look at this repo.\nP.S.: Companies across the world trust us to build their A.I. systems to solve their business needs. Our engineers would be open to talking more on this.\nLast updated: September 7th, 2023 at 7:42:06 AM GMT+0\nHellonext is a user feedback tool and this article was written by many people at Hellonext. Hellonext helps prioritize product roadmap based on user-input.", "domain": "mathematics"} {"url": "https://joelferg.github.io/teaching.html", "date": "2023-09-22T19:26:06Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233506421.14/warc/CC-MAIN-20230922170343-20230922200343-00556.warc.gz", "language_score": 0.7846987247467041, "token_count": 175, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__283220617", "lang": "en", "text": "ARE 210 (PhD Probability and Statistics) Fall 2022\n- Sigma Algebras and Independce\n- Conditional Expectations and Conditional Sigma Algebras\n- Probability and Distribution Limits\n- MLE and the Invariance Property\nARE 210 (PhD Probability and Statistics) Fall 2021\n- Conditional Expectations and Characteristic Functions\n- Distributions of Multivariate Transformations and Convergence of Combinations of Sample Statistics\n- Exponential Families, Identification, and MLE\n- MLE with a closed parameter space, GMM, and the finite sample distribution of MLE.\n- Asymptotic distribution of estimators and hypothesis testing.\n- Efficient GMM, Proving Statistics are Complete, UMVUEs, and the Cramer-Rao Lower Bound", "domain": "mathematics"} {"url": "http://celloexpressions.com/geometry/proportional-puzzlers/", "date": "2018-01-22T00:14:09Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-05/segments/1516084890928.82/warc/CC-MAIN-20180121234728-20180122014728-00616.warc.gz", "language_score": 0.9391481280326843, "token_count": 127, "dump": "CC-MAIN-2018-05", "global_id": "webtext-fineweb__CC-MAIN-2018-05__0__35590098", "lang": "en", "text": "Introduction to Geometric Proportionality\nThis App features a series of games about geometric proportionality. The figure below shows a circle with an arc and the same curves unwrapped into lines. The points are located proportionally along their respective parents (the full line segment and the circle). Points B and G (in green) are located proportionally at t, while points C and F are at -t.\nThe lengths of the line segment and arc connecting these points are displayed below; notice that they are identical. Drag the slider and press the \"Animate\" button to see what happens when the value of t changes.", "domain": "mathematics"} {"url": "http://www.scantips.com/lights/flashbasics1c.html", "date": "2017-06-22T23:57:31Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2017-26/segments/1498128319933.33/warc/CC-MAIN-20170622234435-20170623014435-00101.warc.gz", "language_score": 0.9124614596366882, "token_count": 4868, "dump": "CC-MAIN-2017-26", "global_id": "webtext-fineweb__CC-MAIN-2017-26__0__58306618", "lang": "en", "text": "Flash intensity falls off with distance. Guide Number is a numerical method used to determine exposure of direct flash for manual flash power levels, to automatically deal with the Inverse Square Law, making the math be trivial. The reference base is a known accurate Guide Number for one situation, from which other situations can be calculated. There are also other ways, today we might use a handheld flash meter, or metered TTL, or just trial and error works well with the digital LCD preview. But in the old days (including flash bulbs), guide number was all we had. The concept is still valid and useful, and is still a fundamental for understanding flash. Guide Number is a solution to deal with the Inverse Square Law.\nThe full details explaining use of guide numbers are below the Guide Number Calculator.\nPlease report ( Here ) any problems with the calculator, or with any aspect of this or any page. It will be appreciated, thank you.\nInsufficient flash exposure is corrected with wider aperture, shorter distance, higher ISO, or more flash power.\nExcessive flash exposure is corrected with stopped down aperture, longer distance, lower ISO, or less flash power.\nThere are three ways to use this GN calculator.\nRepeating again: NOTE that if your flash specifies Guide Number for 105 mm zoom, but you are using it at 24 mm zoom, you absolutely need to know and use the 24 mm zoom Guide Number (see your flash manual for a standard Guide Number chart).\nGuide Number (GN) is a primary fundamental, related to Inverse Square Law, and is about how light works, which will always be important to know. The light fall off means that direct flash exposure can be correct at only one specific distance from the flash. Anything closer is brighter, and anything farther is darker. But how much it changes works on sort of an exaggerated percentage basis (inverse square law), and a greater distance simply has more middle ground range. Bounce flash can seem to extend this range, but direct flash exposure falls off with the square of the distance. Flash will be two stops underexposed at twice the distance, or two stops overexposed at half the distance (inverse square law). So the general rule for flash is to keep all of your subject parts near the same distance plane from the lights (same idea as focus depth of field).\nPhotographing groups: The same distance plane is impossible for multiple rows, and multiple rows can be a deep zone for an even flash illumination, or for focus depth of field too. For long rows, curving the ends forward to equalize the distance helps. For large groups of a few rows deep, raising camera and flash height dramatically (with step ladder) to look down into the group can minimize difference of row distances (and won't hide faces with rows in front). Greater flash distance can extend the range of acceptable flash exposure. We normally think umbrellas ought to be \"close as possible\" for softness, but when back twenty feet, umbrellas don't add much benefit (will cost power, and softness is not important then anyway). However, increasing the flash distance for greater flash exposure range, and stopping the lens down for greater depth of field, very significantly increases the flash power needed. Common notions for best group lighting for multiple rows is that multiple flashes ought to all be above the camera, pointing outward to cover the group evenly (lights at the camera see same as what the lens sees, without creating terrible shadows). Two flashes aimed different directions are individual units, NOT combining the same as multiple flashes ganged acting as one. But be careful about any central overlap, which is ganged. It would be good to meter the lights and the center, to verify all group areas are equal. For large groups, see Google - I'd suggest the Chuck Gardner link there.\nThis diversion is really about the distance range depth extents of the flash exposure. If you meter the flash, you can meter at the range extents too (you certainly ought to plan and know the exposure difference at front and rear of a big group). Or if direct flash, use the calculator here. Or if computing guide number, simply computing distance at ± 1/3 stop apertures computes the range extents for that tolerance (Note ± 1/3 stop is 2/3 stop from front to rear). Exposure range is not exactly about power or aperture, but is about the flash distance (inverse square law), so as to distance, the range distance is applicable to TTL too.\nGuide number makes exposure computation very easy. Guide number is the oldest system to determine flash exposure (used for flash bulbs, before automation), but guide number only applies to direct flash. Guide number is not useful for bounce, because it requires knowing the distance in the total path from flash to subject, and also the reflection coefficient at the ceiling (very roughly, common situation bounce can need 2 or 3 stops more power than direct flash). But guide number still is fundamental today, and understanding guide numbers can increase understanding of flash and inverse square law, whether you actually use guide numbers or not. We should all spend a little time playing with this, to understand the concept. It is a genuine basic of flash photography, which simplifies the Inverse Square Law (which is a really huge factor for flash).\nShutter speed is not a factor of flash exposure (Part 2), but f/stop, ISO, flash power, and flash distance are the factors. Distance does not affect our sunlight, but it is pretty tricky for flash. Direct flash exposure falls off with the Inverse Square Law (with distance), a serious complication for determining exposure. If we don't actually meter the flash, then guide numbers can solve distance computation easily (for direct flash). Guide numbers have been calculated forever, at least since first commercial flash bulb about 1930. Guide number was the only system before light meters and electronic automation.\nIf you meter your flash, either via TTL flash automation, or by using a hand held flash meter, or if you just use the camera's rear LCD and histogram to tweak in your manual flash exposure, then maybe you can get by for awhile without it, but Guide Number certainly does help basic understanding, essential fundamentals of flash that we should know (how direct flash falls off with distance).\nSo that's good to know to know, but guide number tells a lot more. If we know guide number is GN 40 (feet), then we know that 8 feet will need to use GN 40 / 8 feet = f/5 exposure. That is a lot to know (again, this is for unmodified direct flash).\nGuide Number is a tool to determine exposure of direct flash with manual flash power levels, to automatically deal with the Inverse Square Law, making the math be trivial.\nGuide Number = f/stop x Distance (those values which actually give a proper exposure)\nf/stop = Guide Number / Distance (aperture for other distances)\nDistance = Guide Number / f/stop (distances for other apertures)\nFor any given \"correct flash exposure\" situation, guide number is simply numerically equal to the aperture number (like the number 8 in f/8) multiplied by the subject distance (like 10 feet). Then for example, the guide number is f/8 x 10 feet = GN 80 (feet units). Specifically, that aperture and distance combination which gives the correct exposure, defines the guide number.\nThe Distance is from flash to subject. The flash might be on the camera, but the camera position is Not a factor. It is about the flash.\nThe useful part is that this guide number is a constant for that flash situation, good also for other distances or other apertures. If we know GN for the situation (flash power level and ISO), we can know correct direct flash exposure for any distance or any aperture. This constant GN is initially determined by some trial situation seen to give correct exposure. Or we can use the manufacturers chart of guide number (trial is what they did).\nIf for example, in any situation at all, if f/8 is seen to give the correct exposure at 10 feet (from the flash), then this defines that the guide number for this situation is determined to be 80 (feet, from f8x10 feet). Whatever situation gives a correct exposure, that determines the actual guide number, by definition.\nThe overwhelming advantage of knowing this guide number constant is that if we then move the light to be 5 feet from subject, then GN 80 tells us that GN 80 / 5 feet = f/16 will give us correct exposure there too. Or if we open the aperture to f/4, then the correct distance for this flash power will be GN 80 / f4 = 20 feet. This guide number 80 is a constant (in this same flash power situation), for any distance and any aperture, and its purpose is to make the inverse square law be trivial to compute.\nSaid again- From knowing this guide number constant (GN = aperture x distance) for one flash situation (power and spread angle), we can recompute any other aperture/distance combination for correct exposure, which automatically takes the inverse square law into account, involving only the simplest division. For example, if we know the guide number is 80 (feet), then we immediately know that all of these combinations give the same correct flash exposure:\n|If we know the correct exposure, then we know GN:\nf/8 at 10 feet = GN 80\n|Or, if we know the guide number is 80, then we know exposure:\nGN 80 / 10 feet = f/8\nYou get the idea - any combination computing (f/number x distance) = GN 80 (in this example) also gives the same correct manual flash exposure. The main use is, if our subject is at 14 feet (from the flash), then we know GN 80 / 14 feet = f/5.7. This is a lot to know by simple division, and it really could not be any easier.\nThis works (and is conveniently used) because Guide Number definition is (distance x f/stop), therefore doubling GN doubles distance range (4x the light), OR doubles actual f/stop Number (1/4 the light), which is two stops either way. Actually for any number N, any GN gives same exposure at (N x distance) if using (fstop number / N). The N cancels for GN. This is true because of the coincidence that distance observes the inverse square law, and the area of f/stop number observes the square of the radius.\nWhere do we get this guide number? Whatever aperture and distance that gives an actually correct exposure can compute guide number. Or more commonly, there is also a guide number specification in the flash manuals (see next page). Then we only need to know the distance between flash and subject. This guide number is speaking of manual Direct flash, and this guide number will change if you zoom the flash head differently.\nZoom: Zooming the flash head changes the guide number. Zooming in, to match the lens zoom (a more narrow coverage angle), also concentrates the flash power into a more narrow brighter beam appropriate for the lens zoom, with a higher guide number. There will be a guide number chart in the flash manual, with a different guide number for very zoom value. See the sample guide number chart next page.\nFlashes that do not zoom (like the DSLR camera's internal flash) will have one guide number value. It is printed perhaps as (the Nikon D3200 specification chart):\n\"Guide Number: Approx. 12/39, 13/43 with manual flash (m/ft, ISO 100, 20 °C/68 °F)\"\nFor manual flash, this says GN 13 (meters) / GN 43 (feet). This implies at full manual power, but we can turn the flash power down as necessary, which lowers the guide number.\nYou can work in units of either feet or meters. Since there are 3.28 feet in one meter, the GN in feet is simply 3.28 times the GN in meters. Again, see the guide number chart in the flash manual for flashes that zoom (an example chart is next page).\nGuide number is all we had in the old flash bulb days (and it still works), and before flash units zoomed, they always had a little calculator on them to do this guide number division, but TTL flash mode has made guide numbers less used today. The top few Nikon flashes have a GN Mode, which is a GN calculator (sets flash power level to the aperture and distance). But we can often do the rough math in our heads (if distance is about 10 feet, then GN / 10 = aperture), which often gives a close starting point for proper flash exposure.\nThe published guide numbers (specs, charts, etc) are for unmodified direct flash and for the specified flash head zoom level. As the speedlight zooms in (longer mm to follow the lens zoom), the reflector concentrates the flash power into a smaller angle that becomes brighter, to cover the same appropriate view that the zoomed lens sees. There will be a different guide number for every zoom setting, and for every power level. Any other reflector situation - lighting modifier (diffusion dome, reflector, bounce, umbrella, whatever) - is a very different guide number. Any other path than direct flash is a different subject (involving longer path and bounce reflection losses, etc).\nGuide number makes Inverse Square Law math be easy. The reason this product (of Distance x f/stop) works as a constant for exposure is due to the coincidence that each stop of f/stop numbers increase by the square root of two (1.414) to give half intensity, and the Inverse Square Law distance decreases by the square root of two to give double intensity, and these square factors of 2 offset and cancel in the math, so that the simple product (aperture x distance) is a CONSTANT for correct exposure for this given direct flash situation (ISO, zoom, power level), for any aperture or any distance. It is enough to know that the big deal is that the Guide Number automatically accounts for the Inverse Square Law, making its math be almost trivial for us. This is a big deal, but it is only applicable to bare direct flash.\nOr even easier... Flashes compatible with the camera (communication) often know f/stop, ISO and zoom from the hot shoe. So in direct flash Manual mode, they can use their guide number to show the distance calculation (appropriate for the current power level) on their LCD. This can be a fine starting point (again, direct flash only). Can be very helpful.\nISO: The guide number conversion charts in the flash manuals are typically printed showing ISO 100 values, and then we know that GN increases by square root of 2, or by 1.414x for every doubled step of ISO. Or we divide GN by 1.414 if converting to half of ISO.\nThis first chart is a normal GN conversion chart, always aligning ISO 100 with GN 1x multiplier, because ISO 100 is usually of interest to us. Aligned that way, you have that standard chart just above.\nBut the rows are individually scrollable. This is something easy, but possibly made confusing here.There are no absolute relationships, we can slide these scales left or right as appropriate to our lighting situation. The meaning of the default values initially shown in this chart should be that IF you are using ISO 400, and align GN x1 there too (if ISO 400 is your base GN x1 value), then all other ISO values still have the GN multipliers shown. The doubling effect just mentioned always exists. For example (as shown initially), IF using ISO 400 and assuming it is the base at GN x1, then the next multiplier to the right gives the GN multiplier for the next ISO to the right (ISO 800 is 1.41x GN of current GN for ISO 400). And IF that combination also aligns an actual flash power level (like 1/4 power), then the GN multipliers also work for other power levels. Or, the GN calculator above will do all of this too.\nThe guide number is multiplied or divided by 1.414x for each stop changed, which is each doubling of ISO, or for each doubling of flash power level. Two sequential doubles of ISO or power level doubles GN.\nThen since GN = f/stop x distance, then we know doubling GN also doubles the computed f/stop number (which is two stops), or it doubles distance range (which is two stops).\nThe flash power level steps of Full, 1/2, 1/4, 1/8, 1/16, 1/32, 1/64, 1/128 are each half power of the previous step. The best fact to know about manual flash is that each half power step is one f/stop of exposure. One stop is a 2x factor, so said again, turning the flash from 1/4 to 1/8 power (which is half) reduces the exposure by one f/stop. This is extremely convenient to know.\nEach half power step reduces GN by the square root of 2 (divide GN by 1.414). Two half power steps (1/4 power) is two stops of exposure, or 1/2 the GN value. Or use the calculator, or see the GN chart on next page.\nIf the speedlight does not zoom, then that's all it can do, so you can only compare that. But if it zooms, increasing the flash zoom mm number concentrates the power into a smaller beam. Doubling the zoom mm theoretically covers a 1/4 smaller area with 4x brighter intensity, two stops. Which theoretically, the calculator could calculate the areas, but the actual reflectors vary to much to try. There is substantial area overlap (so frame edges are fully exposed), and usually double zoom mm might multiply guide number about 1.4x, or one stop (if that). Which is only a very rough approximation - because again, of course it depends on the individual reflector design. But guide number maybe about doubles from 24 mm to 105 mm (4x), which is near a two stop increase (half expected), but there are large variations. I'd love to be able to add zoom to the GN calculator, it is obviously an important factor, but this would have to embed GN charts from many different specific flashes, and there are too many flashes. You can do that easier, so instead see the Guide Number chart in your flash manual.\nUse either feet or meters with the calculators, but be consistent with GN and Distance.\nIf the flash can zoom, then it is required to compare Only at the Same zoom values. Because zooming in concentrates the same flash power into a smaller area, which is then brighter (but is only useful in that smaller area). If comparing GN of a speedlight to a studio flash, then to have any meaning, only the same reflector angular coverage (that was used for the GN rating) must be compared (softboxes and umbrellas drastically change GN and coverage). If it does not zoom, then of course it only has that one setting to do one thing (with that same reflector). It used to be that speedlights that zoom agreed to advertise guide numbers at the same standard 35 mm zoom, which was considered to be a typical useful working value, certainly conceivable (it was about full frame views then, and the major Japanese flashes still do this). The power was comparable that way, at the same 35 mm zoom. But today, FX and DX sensor coverage can change GN at the same zoom. So, just saying, for power comparisons to be meaningful, all things must be equal.\nBut today, some marketing (especially Chinese flashes) advertise their maximum 105 mm zoom guide number, simply because that is a larger number that looks better than others, regardless that we rarely use flash at 105 mm zoom.\nToday, to know very much about ratings, we need to look at the guide number chart in the user manual (sometimes online). Comparing this calculation can be useful when shopping for a flash. However, I have seen one Chinese manual that simply advantageously had the wrong chart in it.\nIf one GN is rated for ISO 200, then dividing that number by 1.414 will give the ISO 100 equivalent. Guide Number can only be compared if both are at the same flash zoom and ISO settings.\nGuide Number is used for speedlights, but is not very meaningful for studio flash. One reason is they are typically not used as direct bare flash, but also their GN rating situation is so unknown.They don't zoom, but comparison is difficult when we may not know what reflector was rated, or what its angular distribution spread is. Speedlight GN varies over probably a 2 to 1 range when they zoom... but we can only compare intensity when lighting the same angular coverage, when doing the same job.\nStudio lights, saying it again: Guide Number works very well for unmodified direct flash. One big issue is that guide number cannot be specified for bounce or umbrellas, etc. (because, it depends on them). So typically, direct bare flash is much less important for studio lights, because we normally heavily modify their light with umbrellas, softboxes, grids or snoots, whatever. This drastically changes their distribution coverage angles, and every different reflector coverage would create very different guide numbers. The guide number that is specified for a studio flash may apply to the included standard reflector it ships with, but if the applicable reflector used to specify GN is not specified, then we have no clue what its GN means for our usage. Any wider reflector providing wider area coverage will have a lower guide number, and a more narrow reflector concentrating the light into a smaller area will have a higher guide number. To be able to compare guide numbers, we need to compare at the same area coverage. So guide numbers are typically more common of camera hot shoe speedlights (direct flash), and speedlights do provide specifications for Guide Number at each zoom as a guide to the flash power and its distance capability (again, it only applies to bare direct flash). For studio lights, GN has less and unknown meaning, and probably does not apply to your usage, since these normally use various modifiers (umbrellas, softboxes, etc). So studio lights are likely metered.\nResulting GN of ganged multiple flashes\nThis context of ganged means flashes probably all mounted on the same stand, and aimed at the same point, specifically acting as one. A Main light and Fill light situation is acting as two, and is NOT two ganged acting as one.\nThe GN of multiple equal flashes ganged in combination acting as one, is GN of one times square root of (number of flashes). Each doubling of the number of equal flashes (from 1 to 2, or 4, or 8 flashes) results in one stop in brightness, each doubling increases GN by the square root of 2 (1.414). Two or four flashes may be reasonable, but thereafter, the law of diminishing returns will apply.\nBut ganging two unequal flashes acting as one, say of GN 58 and GN 80 (0.93 stop difference), will add as square root of (58² + 80²) = GN 99. This total is +1.54 EV compared to this smallest flash (more than double), and +0.61 EV compared to this largest flash (less than double).\nContinued - More Guide Numbers next page (charts, etc).", "domain": "mathematics"} {"url": "https://www.christopherlinney.com/2023/10/27/understanding-probability-and-odds-in-casino-games/", "date": "2024-04-23T13:16:15Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296818711.23/warc/CC-MAIN-20240423130552-20240423160552-00541.warc.gz", "language_score": 0.9400740265846252, "token_count": 1830, "dump": "CC-MAIN-2024-18", "global_id": "webtext-fineweb__CC-MAIN-2024-18__0__147332974", "lang": "en", "text": "Have you ever wondered how the odds work in casino games? Or maybe you’re just starting out and want to understand how probability factors into your chances of winning. Understanding probability and odds in casino games is essential if you want to make informed decisions and increase your chances of success.\nCasinos are a popular destination for those looking for entertainment and the chance to win big. However many people walk into a casino without fully understanding the mathematical principles behind the games they play. This lack of knowledge can lead to poor decision-making and ultimately, losing more money than they intended.\nTo become a savvy casino player, it’s crucial to grasp the concepts of probability and odds. By understanding these principles, you can make more strategic bets, manage your bankroll effectively, and potentially improve your overall outcomes. In this article, we will explore the fundamentals of probability and odds in casino games, empowering you to make smarter choices and enhance your gambling experience.\nPrinciples of Probability in Casino Games\nUnderstanding the principles of probability is essential when it comes to navigating the world of casino games. Whether you prefer playing slot machines, card games, or taking part in sports betting, having a grasp of probability can greatly enhance your gaming experience. Probability is a mathematical concept that represents the likelihood of a specific event occurring. It plays a crucial role in determining the chances of winning and making informed decisions when placing bets. By understanding probability, players can assess the potential outcomes of their actions and make strategic choices accordingly.\nIn casino games, independent events play a crucial role in determining outcomes and formulating strategies. Independent events are those where the outcome of one event does not affect the outcome of subsequent events. Understanding this concept is essential for making informed decisions and maximizing chances of success in casino games.\nTo illustrate the concept of independent events, let’s consider the example of a roulette wheel. Each spin of the roulette wheel is an independent event, as the outcome of one spin has no impact on the next spin. Whether the previous spin resulted in a red or black number, the probability of the ball landing on red or black remains constant. This means that even if the roulette wheel has produced several red numbers in a row, the odds of the next spin landing on red or black remain the same.\nHaving a solid understanding of independent events allows players to develop effective strategies. For instance, in roulette, some players may choose to bet on red or black based on the observation of previous outcomes. However, since each spin is an independent event, such strategies do not significantly increase the chances of winning. Instead, players can focus on factors like payout odds and the casino’s payout percentage to optimize their overall experience.\nRandom events play a crucial role in casino games as they contribute to the unpredictable nature of gambling outcomes. Unlike independent events, random events are not influenced by previous outcomes or any external factor, making their results entirely unpredictable.\nIn popular casino games like slot machines and roulette, the occurrence of random events is evident. In slot machines, the symbols displayed on the reels at any given moment are determined by a random number generator (RNG). This means that each spin is completely independent and has an equal chance of producing a winning or losing combination.\nSimilarly, in roulette, the random event occurs when the ball is released onto the spinning wheel. The position where the ball lands is ultimately determined by chance alone. Whether the previous bet was won or lost has no impact on the next spin.\nUnderstanding the concept of random events is essential for making informed decisions in the gambling industry. It allows players to acknowledge that each game is entirely unpredictable, making it impossible to predict or manipulate the outcome. This understanding encourages responsible gambling by deterring individuals from believing in superstitions or strategies that claim to guarantee success.\nBy recognizing the significance of random events, players can approach casino games with a realistic mindset, focusing on factors such as odds and probability calculations, rather than relying on luck alone. Such knowledge empowers players to make informed decisions and enhances their overall gambling experience.\nWide Range of Possibilities for a Single Game\nIn a single casino game, there is a wide range of possibilities that can occur, leading to different outcomes and scenarios. Each game offers unique options and choices for players, influencing the eventual outcome.\nFor example, in card games like poker or blackjack, players have the ability to make strategic decisions that can greatly affect their chances of success. Choosing to hit or stand in blackjack, or deciding which cards to keep or discard in poker, can lead to various outcomes.\nSimilarly, in games of chance like roulette or slot machines, there are countless potential outcomes. The roulette wheel can land on different numbers or colors, while slot machines can produce various winning combinations. Every spin or roll presents an opportunity for a different result.\nThe wide range of possibilities in a single game is what makes casino gambling so exciting and unpredictable. Players must consider the potential scenarios and make choices based on their understanding of the game and their own risk tolerance.\nUnderstanding the countless outcomes and scenarios that can occur in a single casino game is crucial for players to make informed decisions and engage in responsible gambling. Acknowledging the wide range of possibilities ensures that players approach each game with a solid understanding of the fundamental concept of probability and the chances of success.\nAverage Player’s Chances of Winning\nUnderstanding the probability and odds in casino games is crucial for the average player to make informed decisions. While casino games are often considered games of chance, having a solid understanding of the mathematical concept behind probability can greatly improve one’s chances of winning.\nThe probability and odds in casino games can be calculated based on the rules of the game. For example, in roulette, the probability of the ball landing on a specific number can be determined by dividing the number of possible outcomes (winning number) by the total number of outcomes (numbers on the roulette wheel). This allows players to assess the likelihood of winning and make strategic decisions accordingly.\nAdditionally, it is important to stick to a budget when playing casino games. This ensures that players do not bet more than they can afford to lose. By understanding the probability and odds, players can make responsible gambling choices and manage their funds wisely.\nMathematical Concept Behind Casinos Games\nCasino games are not solely dependent on luck and chance. In fact, they are rooted in a mathematical concept that revolves around probability and statistics. Understanding these concepts is crucial for players to make informed decisions and maximize their chances of winning.\nProbability is the likelihood of a specific outcome occurring. In casino games, it determines the odds of winning. By analyzing the rules and possible outcomes of a game, players can calculate the probability of their desired result.\nStatistics come into play when analyzing the overall outcomes of a game over a period of time. This allows players and casino operators to determine the house edge, which ensures that the casino ultimately wins more than it pays out to players.\nPopular casino games like slot machines, blackjack, roulette, and sports betting all involve these mathematical concepts. Players can assess the probability and odds of each game to make strategic decisions and increase their chances of success.\nBy understanding the mathematical concept behind online casino games, players can navigate the complexities and nuances of each game more effectively. A solid understanding of probability and statistics allows players to make optimal strategic decisions, manage their budget responsibly, and ultimately enhance their overall experience in the world of casino gaming.\nCalculating Probability and Odds in Casino Games\nCalculating probability and odds in casino games involves analyzing the rules and possible outcomes of a game to determine the likelihood of a specific result. This process is essential for making informed decisions and increasing the chances of success.\nTo calculate probability, players use mathematical calculations based on the concept of probability. By understanding the likelihood of different outcomes, players can assess the probability of achieving their desired outcome. Probability calculations help players understand the chances of winning and losing in a particular game.\nOdds, on the other hand, represent the relationship between the probability of winning and the payout. Calculating odds involves converting probability into a more user-friendly format such as fractions, decimals, or percentages. The higher the odds, the lower the probability of winning, and vice versa.\nIn casino games, such as slot machines, blackjack, and roulette, understanding probability and odds allows players to make strategic decisions. They can choose games with better odds and calculate the potential payout to make informed choices. This helps players maximize their chances of success and create a more enjoyable and rewarding gambling experience.\nIn conclusion, a solid understanding of probability and statistics plays a crucial role in the casino gaming experience. It empowers players to make strategic decisions, increases their chances of success, and promotes responsible gambling practices. By embracing these mathematical concepts, players can enhance their overall gaming experience while enjoying their favorite casino games responsibly.", "domain": "mathematics"} {"url": "https://observervoice.com/12-march-tribute-to-lloyd-shapley-24454/", "date": "2024-02-27T17:40:11Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947474676.79/warc/CC-MAIN-20240227153053-20240227183053-00624.warc.gz", "language_score": 0.9717351198196411, "token_count": 491, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__133511529", "lang": "en", "text": "Lloyd Shapley (2 June 1923 – 12 March 2016) was an American mathematician and economist. In 2012, he was jointly awarded the Nobel Prize in Economic Sciences.\nLife and Career\nHe was born on 2 June 1923, in Cambridge, Massachusetts. He completed his undergraduate studies at Harvard University, where he developed a strong interest in mathematics. He then pursued his graduate studies at Princeton University, earning his Ph.D. in mathematics in 1953. During his time at Princeton, Shapley worked under the supervision of Albert W. Tucker, a prominent mathematician who introduced him to the field of game theory.\nHis work primarily focused on game theory and cooperative game theory. He made significant contributions to these fields, developing innovative concepts and models that have had a profound impact on various disciplines, including economics, mathematics, and computer science.\nOne of Shapley’s most notable contributions is the development of the Shapley value. This concept provides a method for fairly distributing the payoff or rewards of a cooperative game among its players. The Shapley value takes into account the contribution of each player and the different possible ways in which coalitions can be formed within the game. It has proven to be a fundamental tool in analyzing and understanding cooperative behavior.\nShapley also worked on the study of matching markets, particularly the stable matching problem. He collaborated with David Gale to propose the Gale-Shapley algorithm, also known as the deferred acceptance algorithm. This algorithm provides an efficient way to solve the stable matching problem, where agents with preferences need to be optimally paired with each other based on their preferences.\nIn addition to his theoretical contributions, Shapley also applied his research to real-world applications. He worked at the RAND Corporation, where he applied game theory to analyze strategic decision-making and cooperative behavior in various contexts, including military and economic settings.\nHe died on 12 March 2016, in Tucson, Arizona.\nAward and Legacy\nIn 2012, he was jointly awarded the Nobel Prize in Economic Sciences, along with Alvin E. Roth, for their contributions to the theory of stable allocations and the practice of market design.\nHis contributions continue to influence the fields of mathematics, economics, and game theory. His work has provided fundamental insights into the analysis of strategic decision-making, cooperative behavior, and fair distribution mechanisms. Shapley’s legacy remains an inspiration for current and future generations of researchers in these areas.", "domain": "mathematics"} {"url": "http://lncc.br/eventoSeminario/seminarioconsultar.php?Idt_evento=1925&vAno=2019", "date": "2019-07-24T06:49:33Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-30/segments/1563195531106.93/warc/CC-MAIN-20190724061728-20190724083728-00304.warc.gz", "language_score": 0.8884540796279907, "token_count": 382, "dump": "CC-MAIN-2019-30", "global_id": "webtext-fineweb__CC-MAIN-2019-30__0__169656106", "lang": "en", "text": "Tipo Seminário: Seminário de Pós-Graduação, Seminário COPGA\nPalestrante(s): Bojan Guzina, University of Minnesota, USA\nHorário/Local: 14:00-15:30(Auditorio A)\nIn this study, we establish an inclusive paradigm for the homogenization of scalar wave motion in periodic media (including the source term) at finite frequencies and wavenumbers spanning the first Brillouin zone. We take the eigenvalue problem for the unit cell of periodicity as a point of departure, and we consider the projection of germane Bloch wave function onto a suitable eigenfunction as descriptor of effective wave motion. For generality the finite wavenumber, finite frequency (FW-FF) homogenization is pursued in Rd via second-order asymptotic expansion about the apexes of “wavenumber quadrants” comprising the first Brillouin zone, at frequencies near given (acoustic or optical) dispersion branch. We also consider the junctures of dispersion branches and “dense” clusters thereof, where the asymptotic analysis reveals several distinct regimes driven by the parity and symmetries of the germane eigenfunction basis. In the case of junctures, one of these asymptotic regimes is shown to describe the so-called Dirac points, that are relevant to the phenomenon of topological insulation. On the other hand, the effective model for nearby solution branches is found to invariably entail a Dirac-like system of equations that describes the interacting dispersion surfaces as “blunted cones”. We illustrate the analytical developments by several examples, including the Green’s function near the edge of a band gap and clusters of nearby dispersion surfaces.", "domain": "mathematics"} {"url": "https://www.simple.one/paper/storage/", "date": "2023-06-01T22:26:06Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224648209.30/warc/CC-MAIN-20230601211701-20230602001701-00693.warc.gz", "language_score": 0.83219313621521, "token_count": 805, "dump": "CC-MAIN-2023-23", "global_id": "webtext-fineweb__CC-MAIN-2023-23__0__267700033", "lang": "en", "text": "Distributed Storage Papers\nThe following are my works on distributed storage systems. Both concern regenerating code that have applications in distributed storage systems.\n|MoulinAlg20||D W||Multilinear Algebra for Distributed Storage|\n|Atrahasis20||D L W||Multilinear Algebra for Minimum Storage Regenerating Codes|\nD = Iwan Duursma (Advisor of the time);\nL = Xiao Li (academic sister).\nA regenerating code consists of\n- a file of size $M$ symbols and\n- a system of $n$ storage devices, called nodes.\nThe configuration of the nodes satisfies the following conditions:\n- Each node stores $\\alpha$ symbols of the file.\n- Any $k$ nodes contains sufficient information to recover the file.\n- When a node fails, some $d$ other nodes will each send it $\\beta$ symbols to repair the failing node.\nThe code is named regenerating mainly due to the last bullet point—the nodes regenerate themselves.\nThe theory of regenerating codes concerns the relation among $n, k, d, \\alpha, \\beta, M$. For example, since any $k$ nodes contain $k\\alpha$ symbols and can recover the file, the file size $M$ is at most $k\\alpha$. Similarly, since $d\\beta$ symbols repair a failing node, the node size $\\alpha$ is at most $d\\beta$. (Exercise) One can also show that $k - 1$ nodes ($\\alpha$) plus $d - k + 1$ help messages ($\\beta$) is at least $M$. There is a family of bounds of this type. They are called cut-set bounds and restrict where those parameters can live.\nThe opposite approach is to construct regenerating codes that aim to achieve low $\\alpha$, low $\\beta$, and high $M$. MoulinAlg20 utilizes multilinear algebra to do this. We construct a series of regenerating codes which we call Moulin codes. They achieve the best known $\\alpha/M$-versus-$\\beta/M$ trade-off to date. And it is conjectured that this trade-off is optimal.\nSee Figure 1 on page 3 in MoulinAlg20 for the $\\alpha/M$-versus-$\\beta/M$ trade-off for the $(n, 3, 3)$ case. Here is another $\\alpha/M$-versus-$\\beta/M$ trade-off for the $(n, 3, 4)$ case. (In a newer version of MoulinAlg20 that I am still working on.) For more general parameters, check out this D3.js plot.\nSee also Table 2 on page 29 for the relations among some competitive constructions.\nAtrahasis20 exploits multilinear algebra to construct MSR codes, which we called Atrahasis codes. Formally, an MSR code is a regenerating code with $M = k\\alpha$ and $\\beta = \\alpha/(d - k + 1)$. From the constraint on $M$ one sees that there is no wastes of storage (hence the name minimum storage regeneration = MSR). Some researchers see MSR codes as the intersection of regenerating codes and MDS codes.\nMSR alone attracts significant attentions because people want to minimize node size ($\\alpha \\geq M/k$), and only then they minimize help messages ($\\beta \\geq \\alpha/(d - k + 1)$ given that $\\alpha \\geq M/k$). See Table 1 on page 5 in Atrahasis20 for a comparison of some existing contraptions.Scroll to top", "domain": "mathematics"} {"url": "https://grocerystorefeet.com/tag/mr-brady/", "date": "2023-06-06T08:31:13Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224652494.25/warc/CC-MAIN-20230606082037-20230606112037-00370.warc.gz", "language_score": 0.9807788133621216, "token_count": 1321, "dump": "CC-MAIN-2023-23", "global_id": "webtext-fineweb__CC-MAIN-2023-23__0__211547505", "lang": "en", "text": "Fate, if you believe in it, is an odd and capricious thing.\nIf Larry Brady had been able to fold proper paper airplanes, I would never have learned calculus in high school, so I would have been forced to take it in college — most likely with a thickly accented professor — and failed it miserably thereby not finishing my degree and likely dooming myself to a life of more misery and failure than I already have endured.\nI guess one could safely say I owe a lot to Mr. Brady.\nBudge and I were talking about math last night. Why, I don’t know. It’s one of those strange conversations married people have. Anyway, Budge HATES math. I blame Dad. Patience is not one of Dad’s cardinal virtues. He scarred her for life when he tried helping her with her algebra homework.\nSo we were talking about different kinds of math and Budge mentioned that she didn’t understand trigonometry. In about 15 minutes, I’d explained to her what it was, who used it, and why. I also gave her a rundown on mnemonics for the main trig functions. She wanted to know why it was so easy for me to learn and remember all this when she’d had such an impossible time with her high school math classes.\nI answered her, “That’s easy; you never had Mr. Brady for a math teacher.”\nAs he explained to us in class in one of the precious few moments we managed to bump him slightly off topic, had Mr. Brady managed to conquer paper airplane origami at North Carolina State University, he would have pursued a degree and career as an aeronautic engineer. Unfortunately, he couldn’t get the hang of folding the paper the way this particular professor wanted it folded so he changed his major to mathematics and ended up, somehow, as a teacher. I’m not certain on the mechanism of fate, but I do know that fortuitous alignment of the stars resulted in a generation of math students at Laurens District 55 High School being blessed without measure by putting one of the most gifted instructors to every pick up a blue Marks-A-Lot overhead pen into the classroom.\nLest anyone reading this think Mr. Brady was so memorable because he was easy, happy-go-lucky, loosey-goosey, and tried being our friend, PLEASE get a grip. Mr. Brady had a dry sense of humor, genuinely enjoyed teaching, and loved three things above all else — basketball, math, and his two daughters, one of whom was my classmate.\nHe was friendly, but he was a teacher first. He was one of the most organized human beings I ever met — at least in the classroom. Most of all though, he was decidedly NOT an easy teacher. Earning Cs in his class was honorable, Bs were a sign of hard work, and As — well, As in Mr. Brady’s class were the Maltese Falcons of the LDHS55 math department.\nWhat made Mr. Brady unique was his ability to teach any concept, no matter how abstract or outrageous, to anyone. I am convinced, within two semesters, he could teach a lab rat to play “Ode to Joy” on a miniature grand piano. He knew no less than five ways to do any problem. If, by chance, a brain-dead stoner in one of his classes couldn’t “get it” using one of those five ways, Mr. Brady didn’t get mad or frustrated — he made up a sixth way on the spot, just like he made up all his classroom examples — on the spot. Now, in case that doesn’t impress you, try making up a problem involving L’Hopital’s Rule on the spur of the moment to get an answer that is neat and easy to use as a teaching example.\nHe was amazing.\nLest anyone think Mr. Brady was one of those Ivory Tower Birds who could only teach the cream of the crop, be advised that he taught EVERYTHING in the math department. Remedial Mathematics to AP Calculus, he taught them all with the same passion and expertise. He was one of the minuscule fraction of teachers who could — and would — teach all students well and without complaint.\nWe spend a lifetime trying to forget some teachers. Others, we remember, but for all the wrong reasons. We recall many personalities, but precious little of the subject matter they once imparted to us. Mr. Brady wasn’t like that at all. I suppose the best way to finally impress upon you the man’s ability as an educator is to reveal that I made a 3 on the AP Calculus “AB” Exam at the end of his class. I can’t remember how many of us passed with a 3 or better, but it was a typically phenomenal ratio for his calculus classes. He taught me so well and so thoroughly that I still maintain some knowledge of calculus today — 21 years later — having never found a reason to use it.\nThe man was good. He was a teacher par excellance and I hope that, wherever he is today and whatever he’s doing (he’s retired, but that’s all I know), he’s reaping a generous reward for making two otherwise unbearable years a little brighter for me.\nGood on ya’, Mr. Brady, wherever you are!\nLove y’all and don’t remember to wash your feet.\nAuthor’s Update September 6, 2006: When I first published this entry on my blog, I sent a copy to Mr. Brady’s daughter, Sally, to pass on to her dad since I didn’t know where he was living or any of his contact information. Sally wrote me back telling me how much she appreciated the tribute, but that she would be unable to pass it on to her father. Unbeknown to me, and to my great and lasting sorrow, Mr. Larry Brady — finest math teacher ever to pace the classroom — passed away in January of 2006 after a series of strokes. I had no idea. Resquiescat In Pace, Mr. Brady, and thank you so much.", "domain": "mathematics"} {"url": "http://www.civilwar.org/education/contests-quizzes/quizzes/quiz-scoring.html", "date": "2017-04-25T14:47:30Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917120461.7/warc/CC-MAIN-20170423031200-00578-ip-10-145-167-34.ec2.internal.warc.gz", "language_score": 0.9194852113723755, "token_count": 398, "dump": "CC-MAIN-2017-17", "global_id": "webtext-fineweb__CC-MAIN-2017-17__0__246337988", "lang": "en", "text": "Or, \"How Do I Get To Become a Quiz General?\"\nSo you just took one of our Civil War Trust quizzes and you managed to get ranked as a Quiz Corporal. How did that happen? How do you score these infernal quizzes?\nWell, here's an inside look at the math behind our scoring process:\nEach quiz question is initially worth 100 points.\n- You get 10 seconds to answer the question. If you get it right in ten seconds or less you get 100 points for that question. The timed portion of the quiz does not apply to the answer pages.\n- After 10 seconds have elapsed, you begin to lose 2 points per each second. Uh-oh!\n- After 40 seconds have elapsed, the quiz stops deducting points for time. The maximum score that you can get for a right answer is then 30 points.\n- The quiz ignores fractional seconds. Don't worry -- this is not a 100m Olympic sprint.\n- You get 0 points for each incorrect answer. Sorry, no partial credit.\nAfter you have answered all the questions the scores from each question are added together to produce a total score. We then compare that score against the maximum total score to produce a range of quiz grades.\nThose grades are:\n- 85% or better = Quiz General (time to start bragging)\n- 75% or better = Quiz Colonel (pretty darn good if you ask us)\n- 50% or better = Quiz Captain (still an officer)\n- 49% or lower = Quiz Corporal (I hope you don't mind sleeping on the ground?)\nAt the end of each timed quiz, you should be able to see your score and the quiz grade. From that page, you can let all your Facebook fans know how you did on the quiz.\nAny questions or suggestions regarding our quizzes? Write to us at firstname.lastname@example.org.", "domain": "mathematics"} {"url": "https://sparkrecipes.sparkpeople.com/mypage_public_journal_individual.asp?blog_id=6632106", "date": "2021-06-17T20:35:43Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-25/segments/1623487633444.37/warc/CC-MAIN-20210617192319-20210617222319-00413.warc.gz", "language_score": 0.9751231074333191, "token_count": 852, "dump": "CC-MAIN-2021-25", "global_id": "webtext-fineweb__CC-MAIN-2021-25__0__117077170", "lang": "en", "text": "Every day counts (in a good way!)\nWednesday, November 13, 2019\nI love math. Math is awesome because numbers don't lie. The only problem with math is numbers are concrete and life is not. For years I have used math to map out my gameplan and anticipate where I would be at X stage or month or year if I did so much of X and lost X consistently. My calculations never accounted for days that don't go as planned, illness (physical as well as mental), the weight stall on the scale when muscle replaces fat, water retention, relationships, sleep, and well, basically, life.\nI have been mentally calculating my goal weight for a long time. My first memory is when I was 13. I bought a pair of pants that were a size too small on purpose and then wrapped them up in a box that I was to open after so many workouts accomplished over a month or two. I never did fit in them properly. When I was 18 I put a tiny slip of paper at the bottom of a vitamin container (300 tablets) that said, \"You did it! Goal weight!\". I would have a vitamin after every workout and figured after 300 workouts I would have definitely reached my goal. I worked out multiple times a day sometimes and kept adding more requirements for what an acceptable workout was, I never got to the bottom of the bottle. When I was 26 the math became more mental and I would calculate pounds per week multiplied by months until...(insert next big event). I used to walk the industrial blocks around my job in Irvine every day for lunch and can remember trying to get to a certain weight by my cousin's wedding. I never met the weight goal and I missed my cousin's wedding something I still deeply regret. I continued this thinking for the next almost 20 years.\nIn every case, I NEVER met my goal. Here I am over 30 years later and I still stand in the shower and \"map\" out a game plan for Easter if its Fall, Christmas in July, the 4th of July in January etc... the time frames usually get longer as now I have so much more weight to lose and I want to be \"realistic\" right?\nI have decided today that I will no longer use math to set myself up for failure. The further I am from my healthy weight range the bigger the math has to be and it gets so far into the future. Add to that a struggle with \"all or nothing\" type thinking and one scoop of ice cream easily turns into two because I can \"start tomorrow\" there are still 249 days left to meet this goal (this will happen repeatedly because of course I need every day to be perfect), then halfway through, I can adjust the math and hopefully lose 2 pounds/week for the next 10 weeks....okay make that 10 pounds/week for 4 weeks...Heck, I'll lose 20 pounds next week and still be on track!\nI have already had to shut down the dialogue multiple times in the last two days because I started exercising again and during a great workout the little voice comes back that says, \"If you keep this up times X times per week, over X amount of months you can be at X\". It steals the joy of my workout in progress because all of a sudden it becomes only one of thousands I will need to accomplish my set goal instead of the victory it is for today. I got up and exercised, that is huge right now! That mentality minimizes and belittles all of my \"today\" efforts in exchange for a lofty future achievement. No More. I also realize that I don't do mini workouts because that mental dialogue has always said, \"If you don't have time for at LEAST 45 minutes, there is no point.\" Lies....\nI am going to make an effort every day but I only have TODAY to work with. That's it. It's really wonderful too, I get to make the best of this great day and I get to choose or correct or rest or do whatever depending on how I slept, what interruptions come my way, how I am feeling, what things are most important etc...\nThanks for reading:)", "domain": "mathematics"} {"url": "https://www.linksacademy.herts.sch.uk/page/?title=Functional+Skills&pid=80", "date": "2020-09-30T06:53:58Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-40/segments/1600402118004.92/warc/CC-MAIN-20200930044533-20200930074533-00159.warc.gz", "language_score": 0.9345726370811462, "token_count": 136, "dump": "CC-MAIN-2020-40", "global_id": "webtext-fineweb__CC-MAIN-2020-40__0__43836616", "lang": "en", "text": "Links Academy offers Functional Skills in English and Mathematics from Entry 1 to Level 2. Suitable for learners of all ages, they’re also a mandatory part of all Apprenticeship frameworks in England.\nProblem solving is at the heart of Functional Skills, they require the learner to apply their knowledge and understanding in a range of familiar and unfamiliar situations. Functional Skills are a mandatory element in apprenticeships as well as being stand-alone qualifications in their own right at Entry Level 1-3, Level 1 and Level 2. Level 1 Functional Skills are equivalent to a GCSE Grade E-D, and Level 2 Functional Skills are equivalent to GCSE Grade C-A*.", "domain": "mathematics"} {"url": "https://gapcentertainment.com/portfolio-item/prime-radicals-season-1-2-2/", "date": "2023-09-24T13:04:11Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233506646.94/warc/CC-MAIN-20230924123403-20230924153403-00182.warc.gz", "language_score": 0.937044084072113, "token_count": 264, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__32298940", "lang": "en", "text": "Kevin, Alana and Uncle Norm..\nTake one healthy measure of math, blend in two cousins and their wacky Uncle Norm. Next mix in some mayhem, music, a lot of laughs, and a big serving of learning. It’s a formula that amounts to plenty of mathe-magical fun with The Prime Radicals! This new live action series for kids aged 6-8 is compelling and entertaining – never didactic – and uses humourous, hands-on, real-world scenarios to make numbers cool for kids, based on the math curriculum for young learners. Stay tuned for The Prime Radicals season 2 in the fall of 2013!\nMore exciting episodes ...\nThe multi award-winning Canadian television series that has hooked children aall across Ontario is back for a second season. The Prime Radicals Season 2 officially launches on TVOKids on Thursday, September 5, 2013 at 6:30 p.m. in Ontario—and online across Canada at www.tvokids.com. Produced by Ottawa’s GAPC Entertainment, the series takes the mystery out of math and puts the fun back into learning for kids aged 6 to 8.\n52 x 15 min.", "domain": "mathematics"} {"url": "http://sanderson.blogs.ccps.us/archives/2533", "date": "2019-10-21T21:35:46Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-43/segments/1570987787444.85/warc/CC-MAIN-20191021194506-20191021222006-00288.warc.gz", "language_score": 0.9119881391525269, "token_count": 137, "dump": "CC-MAIN-2019-43", "global_id": "webtext-fineweb__CC-MAIN-2019-43__0__190363003", "lang": "en", "text": "A differentiated approach to adaptive learning – keep your students learning and engaged this summer!\nFront Row offers a suite of tools across Math, ELA and Social Studies to help your students grow. • Math – 34,000+ questions aligned to K-8 standards • ELA – 400+ ELA articles, each available in multiple reading levels • Social Studies – Ready-to-go lessons • Data reports – Over 15 reports to track student growth • Benchmark assessments\nLessons are common core aligned. Students begin by taking a pretest within a domain then move to practice sets, lessons, and assessments. Front Row will always be free for teachers. Set up your account today.", "domain": "mathematics"} {"url": "http://riverislands.com/schools", "date": "2019-01-20T10:16:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2019-04/segments/1547583705091.62/warc/CC-MAIN-20190120082608-20190120104608-00486.warc.gz", "language_score": 0.9582280516624451, "token_count": 166, "dump": "CC-MAIN-2019-04", "global_id": "webtext-fineweb__CC-MAIN-2019-04__0__47822747", "lang": "en", "text": "Tom Torlakson is impressed with River Islands Technology Academy. So impressed that the man who oversees 10,000 public schools and the education of 6 million students as California’s State Superintendent of Public Instruction made his second visit in three years to the Lathrop charter school. The infusion of cutting edge technology to advance science, technology, engineering, and math education first lured Torlakson to visit in 2013.\nLast spring, California held a statewide Assessment of School Performance and Progress testing for grades 3 -8 to ascertain students’ progress “in a more rigorous education regimen associated with the Common Core standards that were adopted in 2010”.\nPerformance was measured by the percentage of students who exceeded state standards, met state standards, nearly met state standards and did not meet state standards in English and mathematics.", "domain": "mathematics"} {"url": "https://www.petropedia.com/definition/7221/drilling-formulas", "date": "2021-07-28T14:05:15Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-31/segments/1627046153729.44/warc/CC-MAIN-20210728123318-20210728153318-00544.warc.gz", "language_score": 0.9470536112785339, "token_count": 243, "dump": "CC-MAIN-2021-31", "global_id": "webtext-fineweb__CC-MAIN-2021-31__0__233953058", "lang": "en", "text": "Definition - What does Drilling Formulas mean?\nDrilling Formulas are sets of special formulas used by drilling engineers for a wide number of oil well related operations. These formulas form the base of drilling calculations. Also known as drilling formula sheets, these formulas are essential mathematical and engineering factors that help in drilling, managing and controlling an oil well. These formulas are taught in Petroleum engineering and in oil well control schools. The drilling industry makes use of almost 5000 formulas on a regular basis for well control, drilling wells and other operations.\nPetropedia explains Drilling Formulas\nPetroleum engineering makes use of special formulas to analyze and calculate the various aspects related to the drilling of an oil well and its later operations. Drilling Formulas and drilling calculations play an important part as they help graduate students to learn how to implement these dynamics on real sites. These formulas are regulated by the American Petroleum Institute and are available in several handbooks meant for well control. Nowadays, these formulas are also available in Smartphone applications which help offshore and onshore drilling experts to use them easily. Since all the phases of oil production require the maintenance of the oil well, Drilling Formulas remain pivotal to do so.", "domain": "mathematics"} {"url": "https://sncclegacyproject.org/the-young-peoples-project-ypp/", "date": "2024-02-26T09:57:04Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947474659.73/warc/CC-MAIN-20240226094435-20240226124435-00376.warc.gz", "language_score": 0.9601046442985535, "token_count": 676, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__208673323", "lang": "en", "text": "A Day in the Life of a YPP Math Literacy Worker\n“We help [younger] kids to understand math in a way that we didn’t get to when we were their age. All MLWs have to be leaders. A great MLW is a great team member, someone who comes to the workshop and actually gives energy. Kids look up to teenagers, what they see from us, that’s what they’re going to do.”\nThe Young People’s Project (YPP) was envisioned and continues to conduct its work in the spirit of Ella Baker. Founded in 1996 by two generations of young people, YPP is an outgrowth of the Algebra Project which Bob Moses founded as part of the legacy of SNCC’s student-led grassroots organizing and voter registration efforts in 1960’s Mississippi. It has since grown into a nationally recognized, math literacy and youth empowerment nonprofit that serves over 600 students and teachers across 14 sites every year.\nThrough 25 years of partnering with schools and community-based organizations, YPP has demonstrated that it is possible to develop and implement a ground-up education program that engages young people who are most often underrepresented in STEM fields, in learning and teaching math through near-peer mentoring, in a way that increases their interests in math, their persistence, confidence and willingness to more broadly serve their communities. The program shows a path toward improving education for those who are not benefitting from the country’s public educational system. This year (2022) marks YPP’s 25th Anniversary as a nonprofit organization.\nYPP is a solution that young people build with each other, under the leadership, support, and guidance of invested adults. MLWs learn pieces of math well enough to teach it and learn to facilitate math activities with middle school students. Together they learn and teach each other math in ways that are meaningful and engaging. As a result, they develop as a community, and become their own support. In doing so they invite and challenge the adults and systems around them to see and treat them differently.\nAs one middle school principal put it, “YPP may not be the answer for every child, but it is the answer for the community, that we begin to see our children differently, that we begin to believe in them.”\nYPP seeks to recruit MLWs from high school students representing a diverse group of academic performers and peer leaders, from the same community as the middle school students. The training of high school students as paid Math Literacy Workers (MLWs) develops the abilities of the middle school students and the high school students themselves, to succeed in school and in life, and in doing so involves them in efforts to eliminate institutional obstacles to their success. MLWs care that the younger students learn and have fun.\nYPP is Exploring STEM Literacy\nIn this video you will see YPP’s emerging Computer Science and STEM literacy\nwork in action at Excel High School in Boston, MA.\nIn this video you will see YPP’s National Youth “Flagway” Math Tournaments.\n|Gates Foundation Targets Culturally Responsive Math Teaching With New Grants\n|Young People's Project Empowers Youth With Math Skills", "domain": "mathematics"} {"url": "https://wavelet.askdefine.com/", "date": "2018-10-17T20:27:05Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-43/segments/1539583511216.45/warc/CC-MAIN-20181017195553-20181017221053-00020.warc.gz", "language_score": 0.8638690710067749, "token_count": 4270, "dump": "CC-MAIN-2018-43", "global_id": "webtext-fineweb__CC-MAIN-2018-43__0__96260655", "lang": "en", "text": "A wavelet is a kind of mathematical function used to divide a given function or continuous-time signal into different frequency components and study each component with a resolution that matches its scale. A wavelet transform is the representation of a function by wavelets. The wavelets are scaled and translated copies (known as \"daughter wavelets\") of a finite-length or fast-decaying oscillating waveform (known as the \"mother wavelet\"). Wavelet transforms have advantages over traditional Fourier transforms for representing functions that have discontinuities and sharp peaks, and for accurately deconstructing and reconstructing finite, non-periodic and/or non-stationary signals.\nIn formal terms, this representation is a wavelet series representation of a square-integrable function with respect to either a complete, orthonormal set of basis functions, or an overcomplete set of Frame of a vector space (also known as a Riesz basis), for the Hilbert space of square integrable functions.\nWavelet transforms are classified into discrete wavelet transforms (DWTs) and continuous wavelet transforms (CWTs). Note that both DWT and CWT are of continuous-time (analog) transforms. They can be used to represent continuous-time (analog) signals. CWTs operate over every possible scale and translation whereas DWTs use a specific subset of scale and translation values or representation grid. The word wavelet is due to Morlet and Grossmann in the early 1980s. They used the French word ondelette, meaning \"small wave\". Soon it was transferred to English by translating \"onde\" into \"wave\", giving \"wavelet\".\nWavelet theory is applicable to several subjects. All wavelet transforms may be considered forms of time-frequency representation for continuous-time (analog) signals and so are related to harmonic analysis. Almost all practically useful discrete wavelet transforms use discrete-time filterbanks. These filter banks are called the wavelet and scaling coefficients in wavelets nomenclature. These filterbanks may contain either finite impulse response (FIR) or infinite impulse response (IIR) filters. The wavelets forming a CWT are subject to the uncertainty principle of Fourier analysis respective sampling theory: Given a signal with some event in it, one cannot assign simultaneously an exact time and frequency resp. scale to that event. The product of the uncertainties of time and frequency resp. scale has a lower bound. Thus, in the scaleogram of a continuous wavelet transform of this signal, such an event marks an entire region in the time-scale plane, instead of just one point. This is related to Heisenberg's uncertainty principle of quantum physics and has a similar derivation. Also, discrete wavelet bases may be considered in the context of other forms of the uncertainty principle.\nWavelet transforms are broadly divided into three classes: continuous, discretised and multiresolution-based.\nContinuous wavelet transforms (Continuous Shift & Scale Parameters)In continuous wavelet transforms, a given signal of finite energy is projected on a continuous family of frequency bands (or similar subspaces of the Lp function space L^2(\\R)). For instance the signal may be represented on every frequency band of the form [f,2f] for all positive frequencies f>0. Then, the original signal can be reconstructed by a suitable integration over all the resulting frequency components.\nThe frequency bands or subspaces (sub-bands) are scaled versions of a subspace at scale 1. This subspace in turn is in most situations generated by the shifts of one generating function \\psi \\in L^2(\\R), the mother wavelet. For the example of the scale one frequency band [1,2] this function is\nThe subspace of scale a or frequency band [1/a,\\,2/a] is generated by the functions (sometimes called child wavelets)\n- \\psi_ (t) = \\frac1\\psi \\left( \\frac \\right),\nThe projection of a function x onto the subspace of scale a then has the form\n- x_a(t)=\\int_\\R WT_\\psi\\(a,b)\\cdot\\psi_(t)\\,db\n- WT_\\psi\\(a,b)=\\langle x,\\psi_\\rangle=\\int_\\R x(t)\\overline\\,dt.\nSee a list of some Continuous wavelets.\nFor the analysis of the signal x, one can assemble the wavelet coefficients into a scaleogram of the signal.\nDiscrete wavelet transforms (Discrete Shift & Scale parameters)It is computationally impossible to analyze a signal using all wavelet coefficients, so one may wonder if it is sufficient to pick a discrete subset of the upper halfplane to be able to reconstruct a signal from the corresponding wavelet coefficients. One such system is the affine system for some real parameters a>1, b>0. The corresponding discrete subset of the halfplane consists of all the points (a^m, n\\,a^m b) with integers m,n\\in\\Z. The corresponding baby wavelets are now given as\nA sufficient condition for the reconstruction of any signal x of finite energy by the formula\n- x(t)=\\sum_\\sum_\\langle x,\\,\\psi_\\rangle\\cdot\\psi_(t)\nMultiresolution-based discrete wavelet transforms\nIn any discretised wavelet transform, there are only a finite number of wavelet coefficients for each bounded rectangular region in the upper halfplane. Still, each coefficient requires the evaluation of an integral. To avoid this numerical complexity, one needs one auxiliary function, the father wavelet \\phi\\in L^2(\\R). Further, one has to restrict a to be an integer. A typical choice is a=2 and b=1. The most famous pair of father and mother wavelets is the Daubechies 4 tap wavelet.\nFrom the mother and father wavelets one constructs the subspaces\n- V_m=\\operatorname(\\phi_:n\\in\\Z), where \\phi_(t)=2^\\phi(2^t-n)\n- W_m=\\operatorname(\\psi_:n\\in\\Z), where \\psi_(t)=2^\\psi(2^t-n).\n- \\\\subset\\dots\\subset V_1\\subset V_0\\subset V_\\subset\\dots\\subset L^2(\\R)\nFrom those inclusions and orthogonality relations follows the existence of sequences h=\\_ and g=\\_ that satisfy the identities\n- h_n=\\langle\\phi_,\\,\\phi_\\rangle and \\phi(t)=\\sqrt2 \\sum_ h_n\\phi(2t-n)\n- g_n=\\langle\\psi_,\\,\\phi_\\rangle and \\psi(t)=\\sqrt2 \\sum_ g_n\\phi(2t-n).\nMother waveletFor practical applications, and for efficiency reasons, one prefers continuously differentiable functions with compact support as mother (prototype) wavelet (functions). However, to satisfy analytical requirements (in the continuous WT) and in general for theoretical reasons, one chooses the wavelet functions from a subspace of the space L^1(\\R)\\cap L^2(\\R). This is the space of measurable functions that are absolutely and square integrable:\n- \\int_^ |\\psi (t)|\\, dt and \\int_^ |\\psi (t)|^2 \\, dt .\nBeing in this space ensures that one can formulate the conditions of zero mean and square norm one:\n- \\int_^ \\psi (t)\\, dt = 0 is the condition for zero mean, and\n- \\int_^ |\\psi (t)|^2\\, dt = 1 is the condition for square norm one.\nFor \\psi to be a wavelet for the continuous wavelet transform (see there for exact statement), the mother wavelet must satisfy an admissibility criterion (loosely speaking, a kind of half-differentiability) in order to get a stably invertible transform.\nFor the discrete wavelet transform, one needs at least the condition that the wavelet series is a representation of the identity in the space L^2(\\R). Most constructions of discrete WT make use of the multiresolution analysis, which defines the wavelet by a scaling function. This scaling function itself is solution to a functional equation.\nIn most situations it is useful to restrict \\psi to be a continuous function with a higher number M of vanishing moments, i.e. for all integer ''m\\int_^ t^m\\,\\psi (t)\\, dt = 0\nSome example mother wavelets are:\nThe mother wavelet is scaled (or dilated) by a factor of a and translated (or shifted) by a factor of b to give (under Morlet's original formulation):\n- \\psi _ (t) = \\psi \\left( \\right).\nFor the continuous WT, the pair (a,b) varies over the full half-plane \\R_+\\times\\R; for the discrete WT this pair varies over a discrete subset of it, which is also called affine group.\nThese functions are often incorrectly referred to as the basis functions of the (continuous) transform. In fact, as in the continuous Fourier transform, there is no basis in the continuous wavelet transform. Time-frequency interpretation uses a subtly different formulation (after Delprat).\nComparisons with Fourier Transform (Continuous-Time)The wavelet transform is often compared with the Fourier transform, in which signals are represented as a sum of sinusoids. The main difference is that wavelets are localized in both time and frequency whereas the standard Fourier transform is only localized in frequency. The Short-time Fourier transform (STFT) is also time and frequency localized but there are issues with the frequency time resolution and wavelets often give a better signal representation using Multiresolution analysis.\nThe discrete wavelet transform is also less computationally complex, taking O(N) time as compared to O(N log N) for the fast Fourier transform. This computational advantage is not inherent to the transform, but reflects the choice of a logarithmic division of frequency, in contrast to the equally spaced frequency divisions of the FFT.\nDefinition of a waveletThere are a number of ways of defining a wavelet (or a wavelet family).\nScaling filterThe wavelet is entirely defined by the scaling filter - a low-pass finite impulse response (FIR) filter of length 2N and sum 1. In biorthogonal wavelets, separate decomposition and reconstruction filters are defined.\nFor analysis the high pass filter is calculated as the quadrature mirror filter of the low pass, and reconstruction filters the time reverse of the decomposition.\nDaubechies and Symlet wavelets can be defined by the scaling filter.\nScaling functionWavelets are defined by the wavelet function \\psi (t) (i.e. the mother wavelet) and scaling function \\phi (t) (also called father wavelet) in the time domain.\nThe wavelet function is in effect a band-pass filter and scaling it for each level halves its bandwidth. This creates the problem that in order to cover the entire spectrum, an infinite number of levels would be required. The scaling function filters the lowest level of the transform and ensures all the spectrum is covered. See http://perso.wanadoo.fr/polyvalens/clemens/wavelets/wavelets.html#note7 for a detailed explanation.\nFor a wavelet with compact support, \\phi (t) can be considered finite in length and is equivalent to the scaling filter g.\nMeyer wavelets can be defined by scaling functions\nWavelet functionThe wavelet only has a time domain representation as the wavelet function \\psi (t).\nFor instance, Mexican hat wavelets can be defined by a wavelet function. See a list of a few Continuous wavelets.\nApplications of Discrete Wavelet TransformGenerally, an approximation to DWT is used for data compression if signal is already sampled, and the CWT for signal analysis. Thus, DWT approximation is commonly used in engineering and computer science, and the CWT in scientific research.\nWavelet transforms are now being adopted for a vast number of applications, often replacing the conventional Fourier Transform. Many areas of physics have seen this paradigm shift, including molecular dynamics, ab initio calculations, astrophysics, density-matrix localisation, seismic geophysics, optics, turbulence and quantum mechanics. This change has also occurred in image processing, blood-pressure, heart-rate and ECG analyses, DNA analysis, protein analysis, climatology, general signal processing, speech recognition, computer graphics and multifractal analysis. In computer vision and image processing, the notion of scale-space representation and Gaussian derivative operators is regarded as a canonical multi-scale representation.\nOne use of wavelet approximation is in data compression. Like some other transforms, wavelet transforms can be used to transform data, then encode the transformed data, resulting in effective compression. For example, JPEG 2000 is an image compression standard that uses biorthogonal wavelets. This means that although the frame is overcomplete, it is a tight frame (see types of Frame of a vector space), and the same frame functions (except for conjugation in the case of complex wavelets) are used for both analysis and synthesis, i.e., in both the forward and inverse transform. For details see wavelet compression.\nA related use is that of smoothing/denoising data based on wavelet coefficient thresholding, also called wavelet shrinkage. By adaptively thresholding the wavelet coefficients that correspond to undesired frequency components smoothing and/or denoising operations can be performed.\nHistoryThe development of wavelets can be linked to several separate trains of thought, starting with Haar's work in the early 20th century. Notable contributions to wavelet theory can be attributed to Zweig’s discovery of the continuous wavelet transform in 1975 (originally called the cochlear transform and discovered while studying the reaction of the ear to sound), Pierre Goupillaud, Grossmann and Morlet's formulation of what is now known as the CWT (1982), Jan-Olov Strömberg's early work on discrete wavelets (1983), Daubechies' orthogonal wavelets with compact support (1988), Mallat's multiresolution framework (1989), Nathalie Delprat's time-frequency interpretation of the CWT (1991), Newland's Harmonic wavelet transform (1993) and many others since.\nWavelet TransformsThere are a large number of wavelet transforms each suitable for different applications. For a full list see list of wavelet-related transforms but the common ones are listed below:\nGeneralized TransformsThere are a number of generalized transforms of which the wavelet transform is a special case. For example, Joseph Segman introduced scale into the Heisenberg group, giving rise to a continuous transform space that is a function of time, scale, and frequency. The CWT is a two-dimensional slice through the resulting 3d time-scale-frequency volume.\nAnother example of a generalized transform is the chirplet transform in which the CWT is also a two dimensional slice through the chirplet transform.\nAn important application area for generalized transforms involves systems in which high frequency resolution is crucial. For example, darkfield electron optical transforms intermediate between direct and reciprocal space have been widely used in the harmonic analysis of atom clustering, i.e. in the study of crystals and crystal defects. Now that transmission electron microscopes are capable of providing digital images with picometer-scale information on atomic periodicity in nanostructure of all sorts, the range of pattern recognition and strain/metrology applications for intermediate transforms with high frequency resolution (like brushlets and ridgelets) is growing rapidly.\nList of wavelets\n- Paul S. Addison, The Illustrated Wavelet Transform Handbook, Institute of Physics, 2002, ISBN 0-7503-0692-0\n- Ingrid Daubechies, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics, 1992, ISBN 0-89871-274-2\n- A. N. Akansu and R. A. Haddad, Multiresolution Signal Decomposition: Transforms, Subbands, Wavelets, Academic Press, 1992, ISBN 0-12-047140-X\n- P. P. Vaidyanathan, Multirate Systems and Filter Banks, Prentice Hall, 1993, ISBN 0-13-605718-7\n- Mladen Victor Wickerhauser, Adapted Wavelet Analysis From Theory to Software, A K Peters Ltd, 1994, ISBN 1-56881-041-5\n- Gerald Kaiser, A Friendly Guide to Wavelets, Birkhauser, 1994, ISBN 0-8176-3711-7\n- Haar A., Zur Theorie der orthogonalen Funktionensysteme, Mathematische Annalen, 69, pp 331-371, 1910.\n- Ramazan Gençay, Faruk Selçuk and Brandon Whitcher, An Introduction to Wavelets and Other Filtering Methods in Finance and Economics, Academic Press, 2001, ISBN 0-12-279670-5\n- Donald B. Percival and Andrew T. Walden, Wavelet Methods for Time Series Analysis, Cambridge University Press, 2000, ISBN 0-5216-8508-7\n- Tony F. Chan and Jackie (Jianhong) Shen, Image Processing and Analysis - Variational, PDE, Wavelet, and Stochastic Methods, Society of Applied Mathematics, ISBN 089871589X (2005)\n- Stéphane Mallat, \"A wavelet tour of signal processing\" 2nd Edition, Academic Press, 1999, ISBN 0-12-466606-x\n- Barbara Burke Hubbard, \"The World According to Wavelets: The Story of a Mathematical Technique in the Making\", AK Peters Ltd, 1998, ISBN 1568810725, ISBN-13 978-1568810720\n- Wavelet Digest\n- NASA Signal Processor featuring Wavelet methods Description of NASA Signal & Image Processing Software and Link to Download\n- 1st NJIT Symposium on Wavelets (April 30, 1990) (First Wavelets Conference in USA)\n- Binomial-QMF Daubechies Wavelets\n- Wavelets made Simple\n- Course on Wavelets given at UC Santa Barbara, 2004\n- Wavelet Posting Board\n- The Wavelet Tutorial by Polikar (Easy to understand when you have some background with fourier transforms!)\n- OpenSource Wavelet C++ Code\n- An Introduction to Wavelets\n- Wavelets for Kids (PDF file) (Introductory (for very smart kids!))\n- Link collection about wavelets\n- Wavelet forums (French) Wavelet forum (English)\n- Gerald Kaiser's acoustic and electromagnetic wavelets\n- A really friendly guide to wavelets\n- Wavelet-based image annotation and retrieval\n- Very basic explanation of Wavelets and how FFT relates to it\nwavelet in German: Wavelet\nwavelet in Spanish: Wavelet\nwavelet in Finnish: Wavelet-muunnos\nwavelet in French: Ondelette\nwavelet in Indonesian: Wavelet\nwavelet in Italian: Wavelet\nwavelet in Polish: Falki\nwavelet in Portuguese: Wavelet\nwavelet in Russian: Вейвлет\nwavelet in Swedish: Vågelement\nwavelet in Ukrainian: Вейвлет\nwavelet in Chinese: 小波分析\nwavelet in Japanese: ウェーブレット", "domain": "mathematics"} {"url": "http://francisparkerschoolnews.com/2021/07/two-parker-students-earn-top-score-on-act/", "date": "2021-09-27T12:55:23Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-39/segments/1631780058450.44/warc/CC-MAIN-20210927120736-20210927150736-00004.warc.gz", "language_score": 0.9469369649887085, "token_count": 247, "dump": "CC-MAIN-2021-39", "global_id": "webtext-fineweb__CC-MAIN-2021-39__0__167519625", "lang": "en", "text": "By Matthew Piechalak | email@example.com\nTwo Parker Upper School students earned the highest possible score on their ACT test.\nAlexandra Coyle McDonald and Alec Sheres, both Class of 2022, each earned a composite score of 36 on the standardized test, which is used for college admissions in the United States. Fewer than one percent of all test takers earn the top score, according to ACT. Roughly 1.67 million students nationwide took the test this year.\nThe ACT consists of tests in English, Mathematics, Reading, and Science, each scored on a scale of 1-36. A tester’s composite score is the average of the four test scores. According to ACT, a student who earns a composite score of 36 has likely mastered all of the skills and knowledge they will need to succeed in first-year college courses in the core subject areas.\n“Earning a top score on the ACT is a remarkable achievement,” says ACT CEO Janet Godwin. “A student’s exceptional score of 36 will provide any college or university with ample evidence of their readiness for the academic rigors that lie ahead.”", "domain": "mathematics"} {"url": "https://biodatawiki.in/2023/10/what-is-1-trillion-to-the-10th-power/", "date": "2023-11-28T13:44:51Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679099514.72/warc/CC-MAIN-20231128115347-20231128145347-00034.warc.gz", "language_score": 0.933758020401001, "token_count": 893, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__303022775", "lang": "en", "text": "To understand what 1 trillion to the 10th power means, it’s essential to comprehend the concept of exponentiation. When we raise a number to a certain power, we are essentially multiplying that number by itself multiple times. In this case, you want to find out what 1 trillion (1,000,000,000,000) raised to the 10th power is.\nMathematically, it can be represented as follows:\nCalculating this value can be quite overwhelming, as it involves multiplying 1 trillion by itself ten times. However, modern computers and calculators can handle such large calculations with ease.\n1,000,000,000,000^10 is an incredibly massive number, and it’s challenging to grasp its magnitude without the help of scientific notation or comparison.\nTo put this number into perspective, consider that:\n1,000 is 10 to the 3rd power (10^3).\n1,000,000 is 10 to the 6th power (10^6).\n1,000,000,000 is 10 to the 9th power (10^9).\nSo, 1 trillion (1,000,000,000,000) is 10 to the 12th power (10^12).\nRaising a number to the 10th power means you’re multiplying it by itself 10 times. In this case, 1 trillion to the 10th power is:\nThis results in an astronomical number, often expressed in scientific notation. Scientific notation allows us to represent very large or very small numbers in a more manageable form.\n1 trillion to the 10th power in scientific notation is:\n1 x 10^12 to the 10th power, which simplifies to:\n1 x 10^120\nSo, 1 trillion to the 10th power is equal to 1 followed by 120 zeros:\nThis number is so incredibly large that it’s challenging to comprehend. It exceeds the number of atoms in the observable universe by many orders of magnitude. It’s a number that doesn’t often appear in practical calculations and is more of a mathematical concept to help us understand the power of exponentiation and the vastness of numbers.\nCertainly, let’s explore further the magnitude and some context for a number as colossal as 1 trillion to the 10th power, or 10^120.\nCosmic Scale: To put this number in perspective, it’s helpful to look at it in the context of the universe. The observable universe contains an estimated 2 trillion galaxies, and each galaxy can have billions to trillions of stars. Even with such an astronomical number of stars and galaxies, 1 trillion to the 10th power (10^120) is vastly greater.\nParticle Physics: At the other extreme of scale, consider the tiniest particles in the universe. A grain of sand contains roughly 1 sextillion (10^21) atoms. Even if you were to create a stack of grains of sand, each containing as many atoms as there are in our real universe, you would still fall woefully short of 10^120.\nCombinatorics: The number 10^120 is also much larger than the total number of unique chess games that can ever be played. The estimated number of possible unique chess games is on the order of 10^120 itself, which demonstrates the staggering complexity of the game of chess.\nComputational Limits: From a practical standpoint, modern computers, no matter how advanced, would struggle to process or store a number as enormous as 10^120. The sheer magnitude of this number is far beyond what current technology can handle.\nMathematical Utility: Numbers like 10^120 are often encountered in abstract mathematics and theoretical physics when dealing with cosmological or quantum-scale phenomena. They are used to represent the extreme boundaries of what can be conceived mathematically.\nIn essence, 1 trillion to the 10th power is a number that stretches the limits of human comprehension and practical utility. It serves as a mathematical concept that helps us appreciate the vastness and complexity of the universe and the mathematical structures used to describe it. While we might not encounter such numbers in our day-to-day lives, they play a crucial role in fields like cosmology, theoretical physics, and advanced mathematics, helping us explore the furthest reaches of our understanding of the universe and its underlying principles.", "domain": "mathematics"} {"url": "https://leadershipeducationacademy.com/new-math-classes/", "date": "2018-02-24T05:45:49Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-09/segments/1518891815435.68/warc/CC-MAIN-20180224053236-20180224073236-00574.warc.gz", "language_score": 0.9437105059623718, "token_count": 319, "dump": "CC-MAIN-2018-09", "global_id": "webtext-fineweb__CC-MAIN-2018-09__0__188276373", "lang": "en", "text": "Does your child struggle with math? Would you welcome help to keep them inspired? Elizabeth Cousin, LEA’s math expert is here to take the stress out of math.\nMath Class is a weekly class teaching concepts from Saxon’s 5/4 and 6/5 courses. Concepts will be chosen based on the student’s needs. Students will also meet individually with the mentor to set their own weekly math goals. This also includes a subscription to the award-winning online, self-directed program, Moby Max.\nMath Lab is provides your student with a math mentor using their own math course. Whenever they need extra help, they contact the math mentor who sets up a private tutoring session with them. The mentor may also have the student email their weekly math goals to help motivate them to be consistent in their math studies.\nMath Lab with ALEKS includes everything in Math Lab plus a 12-month subscription to ALEKS math which has math courses from elementary through calculus. Options for shorter subscriptions are available. Contact LEA for more info.\nPre-Algebra is a course for students who are preparing for algebra next year. Since we can’t cover every possible topic in only one hour per week, we will focus on a few subjects that are the most essential topics to be ready for algebra. We will cover: number properties, integers, exponents, factors and multiples, expressions and equations, and the coordinate plane. Each unit will be covered over 3 to 4 weeks so students will have a solid understanding of each topic.", "domain": "mathematics"} {"url": "http://www.infospaze.com/Addiator", "date": "2018-06-25T03:46:03Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-26/segments/1529267867424.77/warc/CC-MAIN-20180625033646-20180625053646-00257.warc.gz", "language_score": 0.9548225402832031, "token_count": 204, "dump": "CC-MAIN-2018-26", "global_id": "webtext-fineweb__CC-MAIN-2018-26__0__194484536", "lang": "en", "text": "Only made obsolete by the electronic variety, it was simple and cheap for the time. It also handles non-decimal measurements, like feet and inches, or pre-decimalization pounds, shillings, and pence. Addition and subtraction require different 'screens', handled by turning the instrument over, or flipping a front panel, or, later, by extended sliders and an extra lower panel. Although not always advertised (e.g. the Magic Brain Calculator mentions \"add, subtract, multiply\" on its front plate), procedures exist for multiplication (by repeated addition or by individual digit multiplications) and division (eg by repeated subtraction, or use of additions combined with complementary numbers).\nMore expensive versions have a built-in slide rule on the back.\nThis type of calculator was introduced by the Frenchman Troncet in 1889. The Addiator was one of the most popular calculators of this sort, and the name is often used to refer to the type generally.", "domain": "mathematics"} {"url": "https://www.ramjet.com/blogs/tips-and-tools/9864150-apples-secret-calculator", "date": "2021-07-29T12:49:52Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-31/segments/1627046153857.70/warc/CC-MAIN-20210729105515-20210729135515-00416.warc.gz", "language_score": 0.8863816261291504, "token_count": 226, "dump": "CC-MAIN-2021-31", "global_id": "webtext-fineweb__CC-MAIN-2021-31__0__20736931", "lang": "en", "text": "Apple's Secret Calculator\nThe iMac’s Spotlight search is an amazing tool that lets you swiftly search your entire iMac for any media, program, or document. You can click the magnifying glass in the upper right hand corner, or just hit Command + Spacebar and the Spotlight search bar will drop down, ready for you to type any text in to begin your search. But did you know that the bar actually does basic math too? Instead of having to actually open your Calculator, just type in some basic math right into the spotlight search bar and… voila! You will see the Icon for Calculator appear, and your math problem will be solved right in the spotlight window.\nOne more secret - if your Mac doesn't have a number pad, you might make a few simple mistakes based on how the calculator keys appear visually. If you want to use multiplication, remember to use Shift-8 to get the star icon (*) and not the letter X. For keying in division problems, the forward slash (/) is the way to go.\nKeep reading for more handy iMac tips and tricks!", "domain": "mathematics"} {"url": "https://www.bfi.org.uk/films-tv-people/4ce2b7f66aebb", "date": "2020-04-02T04:44:22Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-16/segments/1585370506580.20/warc/CC-MAIN-20200402014600-20200402044600-00503.warc.gz", "language_score": 0.8867006897926331, "token_count": 148, "dump": "CC-MAIN-2020-16", "global_id": "webtext-fineweb__CC-MAIN-2020-16__0__153768960", "lang": "en", "text": "- Colors of Infinity Alternative\nRetraces the steps that led to the discovery of the Mandelbrot set in 1980. Dr Arthur C Clarke explains the mathematics and the basic computer operations that generate the Mandelbrot set and the associated imagery. He also demonstrates how the discovery of the set, which gave birth to the science of fractal geometry, is significant to all the sciences. The study of fractals is leading to a better understanding of chaotic systems such as weather and galaxy clusters. The fractal method of digital image compression developed by Michael Barnsley is also discussed. Includes animated images of the Mandelbrot set. Contributors include Dr Benoit Mandelbrot, Prof Stephen Hawking and Prof Ian Stewart.", "domain": "mathematics"} {"url": "https://mrsomath8a.wordpress.com/2018/01/02/linear-functions/", "date": "2022-10-03T21:16:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-40/segments/1664030337432.78/warc/CC-MAIN-20221003200326-20221003230326-00450.warc.gz", "language_score": 0.9390144944190979, "token_count": 260, "dump": "CC-MAIN-2022-40", "global_id": "webtext-fineweb__CC-MAIN-2022-40__0__147789621", "lang": "en", "text": "Much of our time in 8th grade is spend analyzing the characteristics of linear functions. Linear functions are very useful in the “real world,” and understanding how they work is an important key to understanding any relationship between two changing quantities.\nA linear equation has four parts: an independent variable, a dependent variable, slope and a y-intercept. Students are first introduced to these parts through the use of slope-intercept form.\nIn 8th grade, the equation y = mx + b is most often used to represent linear functions. The variable x represents an input value, and the variable y represents an output value. The variable m, represents the rate of change between the inputs and outputs, or the slope of the relationship.\nWe first investigate slope of a graph, by measuring the differences horizontally and vertically between two points.\nWe then move to finding those differences between two points by using subtraction.\nFinally, we use the slope formula to calculate the slope without having to use a graph.\nDon’t think we forgot about the last part of a linear function! The y-intercept is simply the coordinates of the point where the graphed line crosses the y-axis. It is represented by the b in slope-intercept form.", "domain": "mathematics"} {"url": "https://legalguidancenow.com/featured/7-out-of-10-americans-dont-file-their-taxes-correctly-are-you-one-of-them/6/", "date": "2023-12-10T04:25:51Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679101195.85/warc/CC-MAIN-20231210025335-20231210055335-00683.warc.gz", "language_score": 0.960380494594574, "token_count": 153, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__146214089", "lang": "en", "text": "#3 Question: Does every single dollar of tax deductions means a $1 reduction in taxes due?\nIf you thought that every single dollar of your tax deductions actually equals a dollar reduction in taxes, you were wrong. The dollars you deduct only minimize your tax bill based on the amount of your actual marginal tax rate. The marginal tax bracket for you refers to the tax rate you actually pay on your last dollar of income.\nFor instance, if your marginal tax rate is 22 percent, and you have, let’s say, a $1,000 deduction, you have to multiply the amount of your deduction by your marginal rate in order to know exactly the amount of money you actually save (in this case the amount of money saved is $220).", "domain": "mathematics"} {"url": "https://bucksvillagejournal.co.uk/2018/02/24/recommended-qualified-tutors-available-across-south-bucks/", "date": "2018-03-22T17:36:38Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-13/segments/1521257647901.79/warc/CC-MAIN-20180322170754-20180322190754-00012.warc.gz", "language_score": 0.9131017923355103, "token_count": 249, "dump": "CC-MAIN-2018-13", "global_id": "webtext-fineweb__CC-MAIN-2018-13__0__59555347", "lang": "en", "text": "Tuition for all school subjects\nHowland Tutors (Corporate Members of the Tutors’ Association) was founded in 1997 and is owned by Andy and Barbara Howland.\nFor many years, they taught Maths (Andy) and French (Barbara) at Sir William Borlase’s Grammar School in Marlow. Earlier in their careers, Andy taught at Gillott’s (Henley) whilst Barbara taught at Chiltern Edge (Sonning Common) – both schools being Comprehensives. Borlase’s has always had a very high reputation in all school subjects at GCSE, AS and A2 Levels including in English, Modern Languages, Mathematics and Science.\nBoth Barbara and Andy have over thirty years’ teaching and tutoring experience.\nThe agency provides access to over ninety tutors in Maths, English, History, Geography, French, German, Spanish, Physics, Biology, Latin, Chemistry and General Science. Tutors are also available in Business Studies, Sociology, Psychology, Economics and Primary level subjects.\nFor more details check the website – http://www.howlandtutors.co.uk or call 01628 477164", "domain": "mathematics"} {"url": "https://cellbiology.med.unsw.edu.au/cellbiology/index.php/ILP_Statistical_Analysis", "date": "2020-08-12T08:15:40Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-34/segments/1596439738878.11/warc/CC-MAIN-20200812053726-20200812083726-00056.warc.gz", "language_score": 0.872580885887146, "token_count": 669, "dump": "CC-MAIN-2020-34", "global_id": "webtext-fineweb__CC-MAIN-2020-34__0__196810938", "lang": "en", "text": "ILP Statistical Analysis\nQuantitative experimental data will generally need to be analysed using some form of statistics. There are a large number of different statistical tests that can be used depending upon your data, how it was collected and the types of comparisons you intend to make.\nThe information shown below is extracted from the \"information for authors\" for Nature Cell Biology submissions.\nNature Cell Biology - Guide to Authors and Referees\nThe description of all reported data that includes statistical testing must state the name of the statistical test used to generate error bars and P values, the number ( n ) of independent experiments underlying each data point (not replicate measures of one sample), and the actual P value for each test (not merely 'significant' or 'P < .05').\nDescriptive statistics should include:\n- clearly labeled measure of center (such as the mean or the median)\n- clearly labeled measure of variability (such as standard deviation or range)\n- Ranges are more appropriate than standard deviations or standard errors for small data sets. Standard error or confidence interval is appropriate to compare data to a control.\n- Graphs should include clearly labeled error bars.\n- Authors must state whether a number that follows the ± sign is a standard error (s.e.m.) or a standard deviation (s.d.).\nSince for complex biological experiments the number of independent repeats of a measurement often has to be limited for practical reasons, statistical measures with a very small n are commonplace.\n- Statistical measures applied to too small a sample size are not significant and they can suggest a false level of significance.\n- Error bars should not be provided for n < 3. Instead, the actual individual data from each experiment should be plotted\n- If n < 5 individual data should be plotted alongside an error bar.\n- In cases where n is small, a justification for the use of the statistical test employed has to be provided.\nIt is admissible to present a single 'typical result' of n experiments.\n- If n is not based on independent experiments (that is n merely represents replicates of a measurement), it may still be meaningful to present statistics, but a detailed description of the repeated measurement is required.\nA basic description of n, P and the test applied should be provided in the figure legends, and a further discussion of statistical methodology should be provided in the methods section.\nAuthors must justify the use of a particular test and explain whether their data conform to the assumptions of the tests.\nWhen making multiple statistical comparisons on a single data set, authors should explain how they adjusted the alpha level to avoid an inflated Type I error rate, or they should select statistical tests appropriate for multiple groups (such as ANOVA rather than a series of t-tests).\nMany statistical tests require that the data be approximately normally distributed; when using these tests, authors should explain how they tested their data for normality. If the data do not meet the assumptions of the test, then a non-parametric alternative should be used instead.\nSmall Sample Size\nWhen the sample size is small (less than about 10), authors should use tests appropriate to small samples or justify their use of large-sample tests.\nText extract source: Nature Cell Biology - Guide to Authors and Referees", "domain": "mathematics"} {"url": "https://projects.cs.dal.ca/wads2021/invited-speakers/", "date": "2023-05-29T09:28:38Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224644817.32/warc/CC-MAIN-20230529074001-20230529104001-00296.warc.gz", "language_score": 0.9066229462623596, "token_count": 523, "dump": "CC-MAIN-2023-23", "global_id": "webtext-fineweb__CC-MAIN-2023-23__0__158617938", "lang": "en", "text": "Title: Adjacency Labelling of Planar Graphs\nAdjacency labelling schemes, which have been studied since the 1980s, ask for short labels for n-vertex graphs G such that the labels of two vertices u and v are sufficient to determine (quickly) if uv is an edge of G. One of the long-standing problems in the area was the optimal length of labels for planar graphs. The problem is closely related to the size of the smallest universal graph for all n-vertex planar graphs. In this talk I will show how we resolved this problem (up to lower order terms) with the help of a new graph theoretic tool: a product-structure theorem for planar graphs. This new tool and our result are applicable not only to planar graphs but also to bounded genus graphs, apex-minor-free graphs, bounded-degree graphs from minor closed families, and k-planar graphs.\nTitle: Algorithms for Explainable Clustering\nAn important topic in current machine learning research is to explain and/or interpret how models actually make their decisions. Motivated by this, Moshkovitz, Dasgupta, Rashtchian, and Frost recently formalized the problem of explainable clustering. A k-clustering is said to be explainable if it is given by a decision tree where each internal node splits data points with a threshold cut in a single dimension (feature), and each of the k leaves corresponds to a cluster.\nIn this talk, we see an algorithm that outputs an explainable clustering that loses at most a factor of O(log2 k) compared to an optimal (not necessarily explainable) clustering for the k-medians objective, and a factor of O(k log2 k) for the k-means objective. This improves over the previous best upper bounds of O(k) and O(k2), respectively, and nearly matches the previous Ω(log k) lower bound for k-medians and our new Ω(k) lower bound for k-means. Moreover, the algorithm is remarkably simple and, given an initial not necessarily explainable clustering, it is oblivious to the data points and runs in time O(dk log2 k), independent of the number of data points n.\nThis is joint work with Buddhima Gamlath, Xinrui Jia, and Adam Polak.", "domain": "mathematics"} {"url": "http://mindlessphilosopher.net/blog/2014/03/2048-frivolity/", "date": "2023-09-26T18:22:13Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233510219.5/warc/CC-MAIN-20230926175325-20230926205325-00894.warc.gz", "language_score": 0.9306704998016357, "token_count": 778, "dump": "CC-MAIN-2023-40", "global_id": "webtext-fineweb__CC-MAIN-2023-40__0__92254249", "lang": "en", "text": "I spent a good chunk of Saturday and Sunday ignoring the NCAAs and spent my time on something only slightly less frivolous: crafting an algorithm to beat the awesomely addicting game 2048. Spoilers below\n— byuhas (@byuhas) March 23, 2014\nWednesday update: I’ve updated this post to reflect recent improvements in the algorithm.\nI learned of 2048 from this xkcd cartoon. I played a few times, and then on Thursday it struck me that the game is similar to the Towers of Hanoi problem. That night I spent way too many hours crafting the outlines of a winning strategy, proving to myself that I could beat the game. The basic idea is to align the tiles in a snakelike pattern from highest to lowest (from the upper-left, down, then over one, then up, etc) as shown below:\nIt’s especially crucial to keep your highest-numbered tile in a corner (e.g., the upper-left).\nThe computer scientist in me wasn’t satisfied with solving the puzzle by hand. Rather, I felt the need to develop an algorithm, thus allowing a computer to win the game for me. Overall, I did an adequate job — the computer wins the game, but I notice that it still makes small mistakes. You can check it out here. (On my personal machine, each move takes about a second, which provides a pleasant viewing experience — hopefully the same is true for you.)\nSome notes on the algorithm:\n- It looks four moves ahead and does not prune the game tree. (Speed options: Blazing = 3 moves ahead; Plodding = 5 moves ahead.)\n- Grids are scored on:\n- Better score if tiles are in exactly the right place for the “perfect” grid (accounting for gaps in the numbers available).\n- Even if the tiles on the “snake path” aren’t perfect, it’s better if they are monotonic\n- Points for having at most two of the same tile number.\n- Points for having more blank spaces.\n- Points for having a higher maximum tile number.\n- End game: once there are enough points to win on the board: the snake path and monotonicity become less important, adjacent pairs are worth works, and blank spaces are worth more.\n- I’m not sure what percent of the time it wins, especially since there are three speeds. It does make mistakes — likely a combination of deterministic new-number pop up, poor coding of a grid-score function, and not looking that far down the tree.\n- It take about 1000 moves to win.\n- Aside: finding end-game bugs is annoying. I had a build methods to test arbitrary boards. Cost of doing business I guess.\nComments welcome. I respond fairly quickly to tweets.", "domain": "mathematics"} {"url": "http://www.mae.cornell.edu/people/profile.cfm?netid=shs7", "date": "2014-04-19T06:51:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2014-15/segments/1397609536300.49/warc/CC-MAIN-20140416005216-00137-ip-10-147-4-33.ec2.internal.warc.gz", "language_score": 0.9322390556335449, "token_count": 955, "dump": "CC-MAIN-2014-15", "global_id": "webtext-fineweb__CC-MAIN-2014-15__0__45558988", "lang": "en", "text": "Steven H Strogatz\nSteven Strogatz is the Jacob Gould Schurman Professor of Applied Mathematics at Cornell University. He holds a joint appointment in the College of Arts and Sciences (Department of Mathematics) and the College of Engineering (Sibley School of Mechanical and Aerospace Engineering).\nAfter receiving his bachelor's degree in mathematics from Princeton in 1980, Strogatz spent two years as a Marshall Scholar at Trinity College, Cambridge. He did his doctoral work in applied mathematics at Harvard, followed by a National Science Foundation postdoctoral fellowship at Harvard and Boston University. From 1989 to 1994, Strogatz taught in the Department of Mathematics at MIT, and then joined the Cornell faculty in 1994.\nStrogatz works in the areas of nonlinear dynamics and complex systems, often on topics inspired by the curiosities of everyday life. He is perhaps best known for his 1998 Nature paper on \"small-world\" networks, co-authored with his former student Duncan Watts. As one measure of its impact it was the most highly cited paper about networks between 1998 and 2008, across all scientific disciplines, as well as the sixth most highly cited paper--on any topic--in all of physics.\nHe has received numerous awards for his research, teaching, and public service, including: a Presidential Young Investigator Award from the National Science Foundation (1990); MIT's highest teaching prize, the E. M. Baker Award for Excellence in Undergraduate Teaching (1991); the J.P. and Mary Barger '50 Teaching Award (1997), the Robert '55 and Vanne '57 Cowie Teaching Award (2001), the Tau Beta Pi Teaching Award (2006), and the Swanson Teaching Award (2009), all from Cornell's College of Engineering; and the Communications Award from the Joint Policy Board for Mathematics (2007), a lifetime achievement award for the communication of mathematics to the general public. In 2009 he was elected a Fellow of the Society for Industrial and Applied Mathematics for his \"investigations of small-world networks and coupled oscillators and for outstanding science communication.\" In 2012 he was elected to the American Academy of Arts and Sciences.\nProfessor Strogatz has been lauded for his exceptional ability as a communicator. He received the Communications Award--a lifetime achievement award for the communication of mathematics to the general public, awarded by the four major American math societies--in 2007. He has also filmed a series of 24 lectures on Chaos for the Teaching Company's Great Courses series. Professor Strogatz has been a frequent guest on National Public Radio's RadioLab. He wrote a weekly column on mathematics for The New York Times in spring 2010 and fall 2012.\nHis books include Nonlinear Dynamics and Chaos (Perseus, 1994), the most widely used textbook in the field; the bestselling science book Sync (Hyperion, 2003), which was chosen as a Best Book of 2003 by Discover magazine and has been translated into six languages; and The Calculus of Friendship (Princeton University Press, 2009), which chronicles the story of his remarkable 30-year correspondence with his high school calculus teacher, and which reviewers have called \"an intimate view of mentorship\" (Nature), \"wonderful\" (American Scientist), \"marvelous\" (MAA Review), and \"a genuine tearjerker\" (Bookslut). His latest book, The Joy of x, appeared in October 2012.\nCommunication of Mathematics\n- 2010. \"Redrawing the map of Great Britain from a network of human interactions.\" PLoSONE 5 (12): e14248-1 -- e14248-6. .\n- 2014. \"Phase diagram for the Kuramoto model with van Hemmen interactions.\" Physical Review E 89: 012904. .\n- 2012. \"Education of a Model Student.\" PNAS 109: 1-6. .\n- 2012. \"Encouraging moderation: Clues from a simple model of ideological conflict.\" Physical Review Letters 109: 118702. .\n- 2011. \"Continuous-time model of structural balance.\" PNAS 108 (5): 1771-1776. .\nSelected Awards and Honors\n- Rouse Ball lecturer (University of Cambridge) 2009\n- 2013 AAAS Public Engagement with Science Award 2013\n- Elected member (American Academy of Arts and Sciences) 2012\n- Department of Mathematics Teaching Award (Cornell) 2012\n- Gerald and Judith Porter Public Lecturer (American Mathematical Society) 2010\n- BA (Mathematics), Princeton University, 1980\n- BA (Mathematics), Cambridge University, 1982\n- Ph D (Applied Mathematics), Harvard University, 1986\n- MA (Mathematics), Cambridge University, 1986", "domain": "mathematics"} {"url": "http://www.williambutler.ca/2014/07/numbers-large-small-secret-life/", "date": "2018-02-18T07:01:48Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-09/segments/1518891811794.67/warc/CC-MAIN-20180218062032-20180218082032-00001.warc.gz", "language_score": 0.9377003908157349, "token_count": 1070, "dump": "CC-MAIN-2018-09", "global_id": "webtext-fineweb__CC-MAIN-2018-09__0__269387295", "lang": "en", "text": "Numbers play a vital role in our day-to-day lives.\nFrom the day we make our appearance known, right down to the minute, we enter into the visible and invisible realm of numbers.\nBefore we can count, it is being done for us. The date and time of our birth is recorded. We are whisked off to check vital statistics. Our length is measured, our weight is recorded and we are given an APGAR score.\nTwo eyes, check! Ten toes, yes! Ten fingers, great!\nLater on in life, we learn to not only count on our fingers, but we learn to number our friends. We are very blessed if we have a handful of best friends we can count on.\nNumbers Are Everywhere\nNumbers permeate every area of life. There isn’t anything that does not involve them; everything from the microcosm to the macrocosm, and everything in between. They even encompasses The Secret of Life, which I will discuss below.\nEven the hairs on our head are numbered. (Matthew 10:30)\nWe use numbers to:\n- add, subtract, multiply and divide.\n- chart progress and productivity.\n- detect patterns.\n- entice customers. Today only… two for one.\n- find out the truth, to obtain proof. Deductive reasoning tells when the numbers don’t add up.\n- keep track of time, to schedule appointments. Is the train late?\n- measure area, distance, growth, intelligence, sizes of population, time, volume, and weight.\n- provide excellence in service.\n- record important events.\n- report a crime. How many were involved? How long ago did this happen? How tall? What weight? Did you get a license number?\n- solve problems. How much do they cost? How many are needed?\nWe could do none of these things without numbers.\nCurious, Fascinating Numbers and The Secret Of Life\nSome cultures treat numbers with a certain reverence; that they are lucky and control destiny.\nSuch is the popularity of such things as Fung Shui, horse races, and lottery tickets.\nSome people treat numbers with superstition. A good example of this is the number thirteen.\nSome think it is good luck, and others a curse.\nThe number sixteen is interesting. In the Old Testament, there were sixteen prophets.\nIn the New Testament, you will find sixteen apostles and evangelists.\nThe number 153 is also a curiosity. If you cube each number, it returns to itself.\n1 + 125 + 27 = 153\nThe Beauty, Goodness & Truth of Numbers\nThere is a purity to numbers. They are the voice of truth. They never lie, even if they get fudged.\nTo date, no one has been able to figure out the determinant pattern of prime numbers.\nPrime numbers are positive, non-zero numbers that have just two factors; the number one and the number itself.\nThey certainly have held my imagination captive for many years now. I have written high-level encryption programs, and others involving prime numbers. One such program treats prime numbers as linguistic elements.\nHere is an example:\nThe phrase, “The Secret of Life” consists of eleven elements, each of which is a prime number.\nWhen the elements are joined together, they produce six hundred eleven thousand nine hundred fifty one.\nThis is also a prime number. to see for yourself, check here.\nBut wait! Aren’t these eleven elements more than two factors?\nNo. The elements are added, whereas factors are multiplied.\nIn providing one more example, The Secret Of Life shows up in a different way.\nThe gathering of the eleven elements is a picture of unity in diversity.\nCollectively, they are equally important.\nFor example, is it possible that three can be one? …. or any number of things be one?\nWhen you add them together, one plus one plus one equals three.\nBut, when you multiply them, one times one times any number of ones will always equal one.\nPerhaps, one day, the poet-philosophers will write about the day that humanity became one.\nTeach Us To Number Our Days\nThe Bible says, “Teach us to number our days, that we may gain a heart of wisdom.”\nWhen we are small, naïve, and our life experience matches our size, the number of our days\nseems infinitely large. We have a small number of memories, and a lifetime to unearth beauty.\nWhen we are older, wiser, and perhaps becoming small again, the number of our days seems to be\nin short supply. The brevity of life looms larger. We have many memories, some which are buried and long forgotten.\nIf we are wise, we also learn to make the most of our days.\nYou Have A Voice… Let’s Hear It\nDo you have a favorite number?\nDo you enjoy the elegance and beauty of numbers?\nPlease contribute you thoughts here.\nI appreciate each and every one. Thank you kindly! 🙂", "domain": "mathematics"} {"url": "https://www.exprimere.net/en/faq-items/retention-rate/", "date": "2021-11-27T19:53:23Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-49/segments/1637964358233.7/warc/CC-MAIN-20211127193525-20211127223525-00540.warc.gz", "language_score": 0.9453831911087036, "token_count": 144, "dump": "CC-MAIN-2021-49", "global_id": "webtext-fineweb__CC-MAIN-2021-49__0__108208947", "lang": "en", "text": "In order to calculate the Customer Retention Rater, there are three pieces of information we need to use.\n- E is the number of customer at the end of a period;\n- N is the number of new customers acquired during that period;\n- S is the number of customers at the start of that period.\nWe are interested in the number of customers remaining at the end of the period without counting the number of new customers acquired. Remaining customers can be calculated by subtracting N from E. To calculate the percentage, we divide that number by the total number of customers at the start and multiply by 100.\nSo, in formula, we have: ((E-N)/S)*100", "domain": "mathematics"} {"url": "http://koha.mediu.edu.my:8181/jspui/handle/123456789/4639", "date": "2021-01-18T13:08:23Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-04/segments/1610703514796.13/warc/CC-MAIN-20210118123320-20210118153320-00184.warc.gz", "language_score": 0.8205574154853821, "token_count": 322, "dump": "CC-MAIN-2021-04", "global_id": "webtext-fineweb__CC-MAIN-2021-04__0__112343519", "lang": "en", "text": "Please use this identifier to cite or link to this item:\n|Title:||Algorithm to determine the intersection curves between bezier surfaces by the solution of multivariable polynomial system and the differential marching method|\nmultivariable polynomial systems\n|Publisher:||The Brazilian Society of Mechanical Sciences|\n|Description:||The determination of the intersection curve between Bézier Surfaces may be seen as the composition of two separated problems: determining initial points and tracing the intersection curve from these points. The Bézier Surface is represented by a parametric function (polynomial with two variables) that maps a point in the tridimensional space from the bidimensional parametric space. In this article, it is proposed an algorithm to determine the initial points of the intersection curve of Bézier Surfaces, based on the solution of polynomial systems with the Projected Polyhedral Method, followed by a method for tracing the intersection curves (Marching Method with differential equations). In order to allow the use of the Projected Polyhedral Method, the equations of the system must be represented in terms of the Bernstein basis, and towards this goal it is proposed a robust and reliable algorithm to exactly transform a multivariable polynomial in terms of power basis to a polynomial written in terms of Bernstein basis .|\n|Appears in Collections:||Technology and Engineering|\nFiles in This Item:\nThere are no files associated with this item.\nItems in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.", "domain": "mathematics"} {"url": "https://peakstatemathematics.com/services/", "date": "2024-02-28T05:12:12Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947474697.2/warc/CC-MAIN-20240228044414-20240228074414-00101.warc.gz", "language_score": 0.9860360026359558, "token_count": 1643, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__46371505", "lang": "en", "text": "What are previous parents and students saying?\nMr. Freeburg is the BEST! We could not recommend him highly enough. He has been tutoring my son in AP Calculus for the past year and was key to help him pass the AP exam. Mr Freeburg also taught both my son and daughter math at school, Algebra I and Algebra II trig. He brings so much enthusiasm, positive energy and an in depth understanding of math and how to teach it. He gives the kids confidence both in math and outside of math. He truly cares about the students. He is also very flexible and understands how busy the kids are. Mr. Freeburg is a great communicator and always very punctual. I recommend him, great person, teacher, and tutor!\nTim has been a tutor and mentor to our middle school son for nearly a year now. Our son’s attitude, work ethic and grades have improved beyond our expectations. Tim has a way of connecting and relating that facilitates a great learning experience. I thank our lucky stars we found him and highly recommend him.\nMr. Freeburg was my sophomore geometry teacher. Before this my toughest classes have always been math- I just couldn’t grasp certain subjects that are essential to moving forwards into Algebra 2 and Pre-Calc. When the SAT rolled around, I did terribly on the math section and I decided to give Mr. Freeburg a call. He helped me to finally grasp those concepts that had given me trouble and I found my confidence in math growing alongside my understanding. My grade in Physics even shot up and I finished the year off with A’s in both subjects. Not to mention my SAT score improved ? . I greatly appreciate everything that Mr. Freeburg has done for me and I highly recommend him to anyone who needs help!\nTim has been tutoring me for years now and I would recommend him to everyone. He customized every session to my needs which helped me keep my grade at an A all year. He’s the best tutor i have ever had!\nThis year I was enrolled in precalc and I was struggling with math. After I started tutoring with Mr. Freeburg my math grade shot up, I was confident in math, and I was amazed at how fun he could make math! I always look forward to tutoring now and have a totally different perspective on math. I highly recommend him!\nI continuously recommend Tim to friends and I wouldn’t use anyone else but him. He’s flexible and willing to work around my kids busy schedules. My kids think he’s great to work with and he’s been a tremendous help to them. You won’t be disappointed.\nTim is a great tutor, I struggled with math for the longest time in my academic career but with his way of teaching and practicing the concepts I was confused on I improved my grade in my math course. He is very proficient at what he does and works for the students best interest.\nMy daughter has always struggled with Math. We have tried other tutoring options and haven’t had much success. Tim was referred by a neighbor and I am glad I contacted him. By the end of the semester, she was able to raise her F grade to a C.\nOur high school son really enjoys working with Tim and leaves every session feeling so much more confident about his math material. Tim has a very approachable personality that gels with teenagers. He gets these kids and is able to connect with them. We have seen a significant improvement in our son’s math scores thanks to working with Tim.\nTim has been tutoring my 3 kids for a year now. I have a 9 year old, 7 1/2 year old boys and an almost 6 year old daughter. Tim continues to amaze me by being able to make math fun for my children. They always enjoy it when he comes to tutor and I feel that their confidence in math has tremendously improved.\nFreeburg’s welcoming personality made it very easy to come to him for math help. I am truly looking forward to having him help me tackle the scary pre calculus this year. If you are looking for a leg up in math look no further than Tim Freeburg!\nFreeburg helped me a lot my senior year in AP stats. He explained things in a way where I could actually understand them. He wants the best for the kids he tutors and is always available for questions!\nI am usually very interested in math and have enjoyed it a lot, but when I got a bad teacher my sophomore year I become more disinterested. Tim helped me understand the stuff that my teacher was unable to communicate clearly. Tim is a wonderful tutor and I highly recommend him to anyone who is struggling in math or who just wants more clarity.\nMr. Freeburg tutored my 2 sons in math last year and both of them enjoyed his teaching style. He is an excellent communicator, has the ability to connect with students on a personal level and customize his instruction to meet their individual needs. I highly recommend him.\nTim always came prepared and spent extra time tutoring my daughter until she grasped the material. He broke it down and the lightbulb went on in her headed so much faster than in her statistics class. Tim is a talented teacher who can teach all math levels very effectively. He loves what he does and connects with his students so they feel comfortable asking questions when they don’t understand the material. I highly recommend Tim as a tutor.\nGreat guy and an even better math tutor. Just two sessions had me on track to succeeding in alg 2. Highly recommended\nMy former PreCalc teacher, Freeburg was extremely helpful in pushing me through AP Calculus. He was very attentive to my needs and had a flexible schedule that allowed me to always receive help when I needed it. Not only was he very good at his job, but he was also a very good friend, who truly cares about how you do in your math courses. By the end of the year, with his help my grade was raised to a B, and I passed calculus with some breathing room.\nMy son struggled with his geometry his senior year we hooked up with Tim and he is very professional conscientious and cares about his students he is tutoring I was very impressed with his time and caring to better my sons Grade tremendously! Thank you Tim.\nI was struggling in my Alg2/Trig class, and then I took the placement test for Cascadia to do running start and I placed in a lower math class than was currently in. Tim tutored me for a couple of months, and I improved my grade in Alg2/Trig — but the best part is that I re-took my math placement test at Cascadia and I tested into Calculus 151, which was three math levels higher than planned. 2 months of tutoring saved me 3 college quarters of math classes I no longer have to take.\nMy boys have 2 very different math needs and Mr. Freeburg was able to help both of them. He is thoughtful, creative and professional. He is positive in his approach and is able to help students understand even the most complex math concepts. My boys are better math students because of his help.\nAs I was taking AP prep pre-calc I was really falling behind when math had been traditionally one of my strongest subjects. Working with Mr. Freeburg I was able to fully catch up and even work ahead so that I had a foundation going into future chapters in the book. He made the concepts very easy for me to understand and really helped me grasp the subject matter and how various concepts interconnected and built on each other. I was very comfortable with him as a tutor, he kept our session atmosphere easy going and comfortable making them an overall enjoyable experience.\nSafely can say Tim is the first tutor who made me feel like I really could do math. His approach is awesome and he takes you through every step. Highly recommend him!", "domain": "mathematics"} {"url": "http://www.sepnet.ac.uk/Online_modules/LaTeX/resources.html", "date": "2018-11-14T19:40:44Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-47/segments/1542039742263.28/warc/CC-MAIN-20181114191308-20181114213308-00545.warc.gz", "language_score": 0.8569254875183105, "token_count": 318, "dump": "CC-MAIN-2018-47", "global_id": "webtext-fineweb__CC-MAIN-2018-47__0__166122761", "lang": "en", "text": "Vector graphics can be drawn directly in LaTeX using specialised packages. This improves the quality of simple designs and allows you to add mathematics to an image. The link below\nprovides examples of drawing sketches, graphs and charts directly using LaTeX code. It has been written by T. Morales de Luna of Universidad de Córdoba.\nUseful Vector Graphic Tools for LaTeX Users\nFeynman diagrams can be drawn with the TikZ package or the feynMF package. TikZ is a more general package that can draw any basic shape. FeynMF is specifically designed for Feyman diagrams. A very minimal introduction to TikZ written by Jacques Crémer of Université de Toulouse gives you the basics of TikZ but this fantastic tex document by Flip Tanedo (currently at University of California) gives you multiple examples of using TikZ to create Feynman diagrams. If you wish to use feynMF then Drawing Feynman Diagrams with LATEX and METAFONT written by Thorsten Ohl, Universität Würzburg will provide you with many practical examples.\nThere are many mathematical symbols and it is impossible to remember all of them. Therefore a cheatsheet is a useful reference sheet that allows you to look up the LaTeX code you need to create each symbol. There are also Apps available for smart devices that allow you to draw the symbol that you want and the App will find the LaTeX code that you need. One example of these from the Google Play Store is Dextify.", "domain": "mathematics"} {"url": "https://www.hanbit.co.kr/academy/books/book_view.html?p_code=B6126989977", "date": "2021-10-18T17:15:17Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-43/segments/1634323585204.68/warc/CC-MAIN-20211018155442-20211018185442-00195.warc.gz", "language_score": 0.8578367829322815, "token_count": 644, "dump": "CC-MAIN-2021-43", "global_id": "webtext-fineweb__CC-MAIN-2021-43__0__134451964", "lang": "en", "text": "• Decision Dilemmas: Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section.\n• Thinking Critically About Statistics in Business Today Exercises: Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today.\n• EXPANDED Databases: Twenty databases representing several industries including banking, consumer spending, energy, environmental, finance, manufacturing, healthcare, market research, retailing, stocks and more provide additional opportunities for students to apply the statistics presented in each chapter.\n• NEW Big Data Case: Using data from the American Hospital Association, each chapter contains an activity asking students to perform several tasks using variables, samples, and data.\n• NEW Visualizing Time-Series Data Section: helps students use historical data with measures taken over time to predict what might happen in the future.\n• Ethical Considerations: This feature in each course section integrates the topic of ethics with applications of business statistics.\n• Tree Taxonomy Diagrams: These diagrams illustrate the connection between topics and techniques and the ability to see the big picture of inferential statistics.\n• Section Reorganization Options: This course was designed to allow for both one- and two-semester coverage.\n• 900+ Practice Problems: A treasury of practice problems are available in this course.\n1 Introduction to Statistics and Business Analytics\n2 Visualizing Data with Charts and Graphs\n3 Descriptive Statistics\n5 Discrete Distributions\n6 Continuous Distributions\n7 Sampling and Sampling Distributions\n8 Statistical Inference: Estimation for Single Populations\n9 Statistical Inference: Hypothesis Testing for Single Populations\n10 Statistical Inferences About Two Populations\n11 Analysis of Variance and Design of Experiments\n12 Simple Regression Analysis and Correlation\n13 Multiple Regression Analysis\n14 Building Multiple Regression Models\n15 Time-Series Forecasting and Index Numbers\n16 Analysis of Categorical Data\n17 Nonparametric Statistics\n18 Statistical Quality Control\n19 Decision Analysis\n<한빛아카데미> 도서는 한빛 홈페이지에서 더 이상 판매를 하지 않습니다. 도서 구입은 인터넷 서점을 이용하시기 바랍니다. 양해바랍니다.", "domain": "mathematics"} {"url": "https://onlinecourses.one/introduction-to-enumerative-combinatorics-coursera/", "date": "2021-01-16T09:27:52Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-04/segments/1610703505861.1/warc/CC-MAIN-20210116074510-20210116104510-00638.warc.gz", "language_score": 0.9316091537475586, "token_count": 182, "dump": "CC-MAIN-2021-04", "global_id": "webtext-fineweb__CC-MAIN-2021-04__0__146060288", "lang": "en", "text": "Enumerative combinatorics deals with finite sets and their cardinalities. In other words, a typical problem of enumerative combinatorics is to find the number of ways a certain pattern can be formed. In the first part of our course we will be dealing with elementary combinatorial objects and notions: permutations, combinations, compositions, Fibonacci and Catalan numbers etc. In the second part of the course we introduce the notion of generating functions and use it to study recurrence relations and partition numbers.\nThe course is mostly self-contained. However, some acquaintance with basic linear algebra and analysis (including Taylor series expansion) may be very helpful.\nWho is this class for: This course is primarily aimed at the Master of Science students of Mathematics department. Students are expected to have knowledge of one-semester courses of advanced calculus and linear algebra.\nENROLL IN COURSE", "domain": "mathematics"} {"url": "https://bit.vt.edu/faculty/directory/travis.html", "date": "2024-03-05T14:07:51Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707948235171.95/warc/CC-MAIN-20240305124045-20240305154045-00027.warc.gz", "language_score": 0.9551135897636414, "token_count": 169, "dump": "CC-MAIN-2024-10", "global_id": "webtext-fineweb__CC-MAIN-2024-10__0__35300264", "lang": "en", "text": "Dr. Laurel Travis received a both her MBA and her Ph.D. in Business-Quantitative Analysis from the University of Wisconsin-Madison. She obtained a bachelor’s degree from the University of Michigan in Mathematics. Since that time, she has taught at 7 universities in the United States, Canada, and most recently, China. She has taught at both the undergraduate and graduate levels, in subjects including management science, management information systems, engineering, mathematics, and computer science. She has published a textbook entitled Simulation for Decision Making, with Arne Thesen.\nLaurel's research and teaching interests focus on international programs, gerrymandering, discrete event simulation, and applied optimization. Laurel’s recent volunteer activities include caring for the Hokie horses, and teaching STEM on a schooner in the Great Lakes.", "domain": "mathematics"} {"url": "https://ric.daytonisd.net/220316_4", "date": "2020-02-18T21:26:00Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-10/segments/1581875143815.23/warc/CC-MAIN-20200218210853-20200219000853-00428.warc.gz", "language_score": 0.9413372278213501, "token_count": 610, "dump": "CC-MAIN-2020-10", "global_id": "webtext-fineweb__CC-MAIN-2020-10__0__21281392", "lang": "en", "text": "We are kicking 3rd math off to a great start this year! Below are several math websites that your child can access for extra practice at home. These websites include fact fluency, place value skills, word problems, and more! The list will be updated as we cover more topics. We look forward to seeing each and every child grow to love math and become confident and successful in their math skills.\nTopics we have already covered\nPlease allow your son/daughter to practice addition, subtraction, counting money, and now multiplication every day. We are going to have a contest at the end of the year where students can earn an ice-cream cup depending on their multiplication skills. Every week we are going to practice one fact. We’ve already covered the facts for 2s, 10s and for 5s. These are the foundations for learning to deduce the rest of the facts. We do not want them to memorize the facts but to understand how multiplication work and derive the products from what they already know. Memorization will eventually occur as a consequence of repeated use. Thank you for your support at home.\nPerimeter class by Math Antics\nThis video explains what is perimeter and how to determine it.Area class by Math Antics\nWhat is area and how to determine it. Make sure you stop at 5 minutes. We are interested in determining area of squares and rectangles only.Fun to learn numbers\nFun to Learn Numbers is for kids to practice and reinforce their concepts of number counting, sequencing and picture addition.Place Value class by Math Antics\nBasic Math Videos made by a very clever and fun teacherPlace Value Games for 3rd Graders\nThis website provides several activities for your child to revisit and extend place value understanding.Spell the Number\nA fun way to practice spelling numbers from standard form to word form and vice-versa using a check metaphor.Writing numbers in word form\nUsing this website, students practice reading numbers in word form and finding the same number in standard form and vice-versa.Expanded and word form\nHere students will practice converting between expanded and word formsFruit Splat\nThis website will allow students to practice in a fun way how to convert numbers from expanded formABCYa\nABCYa provides a huge variety of short games involving math skills for your child to practice while having fun!Prodigy\nPractice your Math skills at home with this awesome website!\nWe will be creating a Prodigy class for the 2019-2020 school year soon.\nJohnnie's Math Page\nOver 1000 math activities, tools and games are available to your child!\nJohnnie's Math Page is the site to find fun math for kids. Over one-thousand math learning and teaching resources have been categorized and set out for you.Math Playground\nThis website provides games with advanced 3rd grade math concepts. Recommended for advanced students now or for all students after we’ve covered addition, subtraction, multiplication, and division.", "domain": "mathematics"} {"url": "https://rawisat.metin2sell.com/an-introduction-to-the-floating-point-coprocessors-30922ah.html", "date": "2020-06-05T17:44:26Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2020-24/segments/1590348502204.93/warc/CC-MAIN-20200605174158-20200605204158-00373.warc.gz", "language_score": 0.9267133474349976, "token_count": 1435, "dump": "CC-MAIN-2020-24", "global_id": "webtext-fineweb__CC-MAIN-2020-24__0__88710016", "lang": "en", "text": "Introduction This page or section is a stub. You can help the wiki by accurately contributing to it. Floating point numbers are a way to represent real numbers inside computer memory which usually operates with binary digits. As opposed to fixed point numbers which have a fixed number of digits before and after the decimal markfloating point numbers can be considered to have a certain amount of significant digits or 'accurate leading numbers' that we consider to carry an accurate approximation to some value.\nThe DX—Core2 microprocessors contain their own built-in arithmetic coprocessors. Be aware that some of the cloned microprocessors from IBM and Cyrix did not contain arithmetic coprocessors.\nThe instruction sets and programming for all devices are almost identical; the main difference is that each coprocessor is designed to function with a different Intel microprocessor. This chapter provides detail on the entire family of arithmetic coprocessors.\nBecause the coprocessor is a part of the DX—Core2, and because these microprocessors are commonplace, many programs now require or at least benefit from a coprocessor. The family of coprocessors, which is labeled the 80X87, is able to multiply, divide, add, subtract, find the square root, and calculate the partial tangent, partial arctangent, and logarithms.\nData types include, and bit signed integers; l8-digit BCD data; and, and bit floating-point numbers. With the improved Pentium coprocessor, operations execute about five times faster than those performed by the microprocessor with an equal clock frequency.\nNote that the Pentium can often execute a coprocessor instruction and two integer instructions simultaneously. The Pentium Pro through Core2 coprocessors are similar in performance to the Pentium coprocessor, except that a few new instructions have been added: The multimedia extensions MMX to the Pentium—Core2 are instructions that share the arithmetic coprocessor register set.\nThe MMX extension is a special internal processor designed to execute integer instructions at high-speed for external multimedia devices. For this reason, the MMX instruction set and specifications have been placed in this chapter.\nSee Table 14—1 for a listing of all Intel microprocessors and their companion coprocessors. These data types include signed integer, BCD, and floating-point. Each has a specific use in a system, and many systems require all three data types. In order to accomplish any such modification, the instruction set and some basic programming concepts are required, which are presented in this chapter.\nSigned Integers The signed integers used with the coprocessor are the same as those described in Chapter 1. When used with the arithmetic coprocessor, signed integers are worddoubleword integeror bits quadword integer wide. The long integer is new to the coprocessor and is not described in Chapter 1, but the principles are the same.\nConversion between decimal and signed integer format is handled in exactly the same manner as for the signed integers described in Chapter 1. Integer data types are found in some applications that use the arithmetic coprocessor.\nSee Figure 14—1, which shows these three forms of signed integer data. Data are stored in memory using the same assembler directives described and used in earlier chapters. Example 14—1 shows how several different sizes of signed integers are defined for use by the assembler and arithmetic coprocessor.\nEach number is stored as an digit packed integer in nine bytes of memory as two digits per byte. The tenth byte contains only a sign-bit for the digit signed BCD number. Figure 14—2 shows the format of the BCD number used with the arithmetic coprocessor.\nThis form is rarely used because it is unique to the Intel coprocessor. Floating-Point Floating-point numbers are often called real numbers because they hold signed integers, fractions, and mixed numbers.\nA floating-point number has three parts: Floating-point numbers are written in scientific binary notation. The Intel family of arithmetic coprocessors supports three types of floating-point numbers: See Figure 14—3 for the three forms of the floating-point number.\nPlease note that the single form is also called a single-precision number and the double form is called a double-precision number. Sometimes the bit temporary form is called an extended-precision number. The floating-point numbers and the operations performed by the arithmetic coprocessor conform to the IEEE standard, as adopted by all major personal computer software producers.\nThis includes Microsoft, which in stopped supporting the Microsoft floating-point format and also the ANSI floating-point standard that is popular in some mainframe computer systems.\nThe float is a bit version, double is the bit version, and decimal is a special version developed for Visual studio that develops a very accurate floating-point number for use in banking transactions or anything else that requires a high degree of precision.\nThe decimal variable form is new to Visual Studio and Converting to Floating-Point Form.Nov 08, · Lets an analysis of the floating point coprocessors in the design of a microprocessor in computer science start right off with a controversial claim: Forth is the hackers programming language Coding in Forth is a little bit like writing assembly.\nThe term floating point is derived from the fact that there is no fixed number of digits before and after the decimal point; that is, the decimal point can float. There are also representations in which the number of digits before and after the decimal point is set, called fixed-point representations.\nFloating point number, normalization, exceptions, latency, etc. 1. INTRODUCTION An arithmetic circuit which performs digital arithmetic operations has many applications in digital coprocessors, application specific circuits, etc. Because of the advancements in the . For example, a math coprocessor performs mathematical computations, particularly floating-point operations.\nMath coprocessors are also called numeric and floating-point coprocessors. Most computers come with a floating-point coprocessors built in. Note, however, that the program itself must be written to take advantage of the coprocessor.\nsmart-memory coprocessors to a microprocessor. This Introduction The Data-IntensiVe Architecture (DIVA) project is building a workstation-class system using (Integer to floating-point) instruction, the fraction is first converted to sign-magnitude format by conditionally inverting if the sign is negative.\nThen the result is shifted. Introduction to Many Integrated Core (MIC) Coprocessors on Stampede. Intel Xeon Phi™ SE10P coprocessors to change the power/performance curves of supercomputing • Over 70% provided by Xeon Phi moderate floating point throughput –2x E on Stampede: Tflop/s, W.", "domain": "mathematics"} {"url": "https://www1.lehigh.edu/academics/majors/data-science", "date": "2023-01-28T22:22:53Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-06/segments/1674764499695.59/warc/CC-MAIN-20230128220716-20230129010716-00395.warc.gz", "language_score": 0.9075294137001038, "token_count": 305, "dump": "CC-MAIN-2023-06", "global_id": "webtext-fineweb__CC-MAIN-2023-06__0__76789934", "lang": "en", "text": "Master’s in Data Science\nMaster’s in Data Science Overview\nFrom cybersecurity to health and healthcare, from marketing analytics to risk analysis, computing and data science are pervasive. They are transforming discovery and innovation in our economy, our society, our culture, our habits—and how we best prepare students for the future.\nData science is an interdisciplinary field in which a host of mathematical and computational techniques are used to extract information from data, and subsequently used to make informed decisions. Career opportunities are vast and growing everyday in this exciting, applied field of study.\nLehigh's Master's of Science in Data Science allows students from a wide range of backgrounds to gain the qualifications necessary to tap into the wealth of data science jobs, many of which require an advanced degree. The U.S. Bureau of Labor Statistics projects jobs in the field to grow more than 30 percent between 2020 and 2030. Lehigh's Data Science program provides access to the skills and tools of data science to people who want to develop that skill set, even if they don't have a background in computer science or statistics. Prospective students need a strong foundation in math and some basic training in computer science, but no prior data science coursework is required. Classes will be taught in a hybrid (both in-person and remote) format.\nMaster’s in Data Science Contact\nBlake Plimpton | Graduate Recruiting Manager | email@example.com | (610) 758-5483", "domain": "mathematics"} {"url": "https://southeast.unison.org.uk/events/maths-anxiety-part-4-taking-learning-into-practice/", "date": "2021-10-17T18:21:42Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2021-43/segments/1634323585181.6/warc/CC-MAIN-20211017175237-20211017205237-00622.warc.gz", "language_score": 0.9622896909713745, "token_count": 231, "dump": "CC-MAIN-2021-43", "global_id": "webtext-fineweb__CC-MAIN-2021-43__0__32729348", "lang": "en", "text": "14 October 2020 10:00am–11:30am\nWe have secured funding through the Inclusive Learning Project in the South East for a four week online course hosted by the National Numeracy Project. This is a project which aims to advance maths in the workplace; there is absolutely no maths tutoring/ training or learning involved. The purpose of the sessions are to understand anxiety around and towards maths, looking at ways you can help members to overcome it (if they ask).\nWithin the UK 49% of adults are operating with a maths level of that expected of primary school children and we can help tackle this. The National Numeracy Project understand that as soon as you start talking maths people start to switch off, they propose a much more subtle approach to advancing maths learning in the workplace and as part of that you will learn how to run a successful project.\nThis course is open to Union Learning Reps and Lifelong Learning Co-ordinators.\nHow to attend\nSimply email email@example.com with your membership number and the title of the event. Spaces are limited, so apply today!", "domain": "mathematics"} {"url": "https://niatm-net.webs.com/apps/blog/entries/show/44169315-2017-2018-meetings", "date": "2018-08-19T04:01:33Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2018-34/segments/1534221214691.99/warc/CC-MAIN-20180819031801-20180819051801-00204.warc.gz", "language_score": 0.8982164263725281, "token_count": 405, "dump": "CC-MAIN-2018-34", "global_id": "webtext-fineweb__CC-MAIN-2018-34__0__53506844", "lang": "en", "text": "|Posted by niatm on September 15, 2016 at 8:45 AM|\nMonday, October 23, 2017\n\"Uniting Geometrical Constructions and Proofs\" (Middle/HS)\nPresenter: Mr. Matthew Foster, Waukegan Public Schools\nAs an architect, it gives me goose bumps to see geometric constructions that are so darned elegant. As a math teacher, I get them when students develop elegant proofs. Geeky, right? Can my 2 loves be combined from Day 1? Yes! Bring a compass (or use mine) & straightedge and let’s make connections!\nTuesday, December 5, 2017\n\"It's Not Magic - It's Algebra!\" (Grades 6-10)\nPresenter: Mr. David Spangler., Math Consultant, McGraw-Hill Education\nCome away with a collection of motivational activities, card tricks and puzzlers. Your students will want to know WHY they work - and you will oblige by exploring the powerful role variables play in their justification. Students will thus discover how unknowns take the unknowns out of algebra!\nWednesday, February 21, 2018\n\"Theater and Improv for the Math Classroom\" (K-12)\nPresenters: Mr Steve Starr, Math Consultant, formerly Lake View HS, CPS\nMath teacher Steve Starr explores theater games and improv exercises to enliven your classroom and help students connect with each other as active learners.\nThursday, April 19, 2018\n\"Create Your Own Khan Academy Style Video Library for Your Classes\" (Grades 8-16)\nPresenter: Dr. Angela Thompson, Governors State University and Ms. Michelle Hale, Aqsa School, Chicago\nAs a teacher, the ability to make your own videos on mathematical concepts is a powerful tool for student learning. In this session, we will demonstrate how easy it is to make Khan Academy style videos using a tablet and explain why your students need it.", "domain": "mathematics"} {"url": "https://canyouactually.com/jigsaw-puzzle/", "date": "2022-05-19T12:23:41Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-21/segments/1652662527626.15/warc/CC-MAIN-20220519105247-20220519135247-00167.warc.gz", "language_score": 0.9525085687637329, "token_count": 209, "dump": "CC-MAIN-2022-21", "global_id": "webtext-fineweb__CC-MAIN-2022-21__0__45634274", "lang": "en", "text": "Infinity puzzles are jigsaw puzzles with no beginning and no end. They have no fixed shape, no starting point, no edges, and can be assembled in thousands of different ways.\nThe “Infinity Puzzle” is based on the Klein bottle, a non-orientable surface; it is a two-dimensional manifold against which a system for determining a normal vector cannot be consistently defined.\nThe puzzle, created by Nervous System, is configured using science, math, and lasers. “Our infinity puzzles build on that tradition with a new mathematical twist that would be almost impossible with hand cutting, a puzzle that tiles in every direction,” the company wrote on their blog.\n“The intricate branching shapes of our puzzle pieces emerge from a simulation of crystal growth and are lasercut from plywood.”\nIf you’re interested in purchasing this puzzle you can do so here. Be sure to give this post a thumbs up and a share with your friends on Facebook before you go.", "domain": "mathematics"} {"url": "https://shadowbride.com/tools/age", "date": "2023-12-03T17:02:18Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679100508.42/warc/CC-MAIN-20231203161435-20231203191435-00697.warc.gz", "language_score": 0.9526610374450684, "token_count": 166, "dump": "CC-MAIN-2023-50", "global_id": "webtext-fineweb__CC-MAIN-2023-50__0__210709181", "lang": "en", "text": "Dusk years and earth years are very much not the same. Earth has 365(ish) days per year, and 24 hours per day. Dusk has 27 hours per day, and 243 days per year (both decimal, it's 30 and 300 days respectively in nonary). Further complicating matters, Dusk's most common number structure is nonary, so when they say \"the year is 1120AV\", they really mean the year is 828, and those 828 years were only 6,561 hours long compared to our 8,760 (so in reality, it's been ~620 Earth years since 0AV). The following is a calculator to convert ages between the two timekeeping systems.\nFor more information, see Time and Timekeeping.\nThis calculator assumes the current year is 1120AV on Dusk.", "domain": "mathematics"} {"url": "http://library.wolfram.com/conferences/conference98/abstracts/mathematica_link_for_microsoft_excel.html", "date": "2014-08-20T08:51:28Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2014-35/segments/1408500801235.4/warc/CC-MAIN-20140820021321-00341-ip-10-180-136-8.ec2.internal.warc.gz", "language_score": 0.8833478689193726, "token_count": 224, "dump": "CC-MAIN-2014-35", "global_id": "webtext-fineweb__CC-MAIN-2014-35__0__52616684", "lang": "en", "text": "Mathematica Link for Microsoft Excel\nThere are dozens of useful features in the completely reworked Mathematica Link for\nMicrosoft Excel. Most of the limitations of the earlier version have been effaced, and\nthe user interface is much more developed. Among the items at the top of user's\nwish list, Mathematica graphics can now be generated inside Excel. Arrays of any\ntype can be sent and received. Calculations can be interrupted, messages can be received,\nand a terminal window for quick communication with the kernel is provided. An easy-to-use Mathematica\nWizard guides users through the process of entering Mathematica functions into a\nspreadsheet. For Mathematica programmers, this simply means that their code has the\npotential of being used by more than just the Mathematica literate. This session\nwill provide a brief tour of the new product and illustrate examples of functions written\nin Mathematica that are conveniently used inside Excel.\nMore information on Mathematica Link for\nMicrosoft Excel is available in the Wolfram Research Store.", "domain": "mathematics"} {"url": "https://luca3m.me/2014/05/27/median-filter-redis.html", "date": "2022-08-15T15:10:46Z", "file_path": "s3://commoncrawl/crawl-data/CC-MAIN-2022-33/segments/1659882572192.79/warc/CC-MAIN-20220815145459-20220815175459-00388.warc.gz", "language_score": 0.7618292570114136, "token_count": 460, "dump": "CC-MAIN-2022-33", "global_id": "webtext-fineweb__CC-MAIN-2022-33__0__175530857", "lang": "en", "text": "Recently I had to implement a median filter algorithm, I found Redis very powerful to accomplish this! A very simple solution and scalable.\nAs described in Wikipedia, Median filter works in this way: given a signal, output sample is the median of last N input samples, where N can be any positive integer number. Higher is N, more aggressive will be your filter.\nWe need a store for last samples, in a FIFO way, pushing a new one will drop an older one. Redis provides lists, which are perfect for this scope. Also we need to sort these samples in numerical order, to get every time we want the median value. Redis provides a SORT command, which does this job.\nI implemented these two primitives:\nadd_sample(value)- called every time to add a new sample\nget_median()- to get the median value\nFor the former we need to call two Redis commands:\nMULTI LPUSH LTRIM 0 -1 EXEC\nLPUSH will simply add a new sample to the list,\nLTRIM ensures that at least\nN elements will be stored, no more.\nTo get median value we need to call\nSORT and then calculate median. SORT returns\nall values on that list, sorted by numerical order. I have preferred\nto use a script, so Redis avoids returning non useful data to clients:\nlocal list_key = KEYS -- Key of samples list -- Sort values local sorted_values = redis.call(\"SORT\", list_key) local size = #sorted_values local median = 0.0 -- Calculate median if size % 2 == 0 then median = (sorted_values[size/2]+sorted_values[size/2+1]) / 2 else median = sorted_values[(size+1)/2] end -- Use tostring because median value may be floating point return tostring(median)\nCalling this script it’s easy:\nEVAL