Introduction to Scilab [electronic resource] : For Engineers and Scientists /
Nagar, Sandeep.author.
Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Scilab. Introduction to Scilab is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. After reading this book, you will come away with sample code that can be re-purposed and applied to your own projects using Scilab. You will: Apply sample code to your engineering or science problems Work with Scilab arrays, functions, and loops Use Scilab’s plotting functions for data visualization Solve numerical computing and computational engineering problems with Scilab.
Includes index.
1. Introduction to Scilab -- 2. Working with Scilab -- 3. Working with Arrays -- 4. Plotting -- 5. Data Through File Reading and Writing -- 6. Functions and Loops -- Numerical Computing Formalism -- 8. XCOS.
Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Scilab. Introduction to Scilab is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. After reading this book, you will come away with sample code that can be re-purposed and applied to your own projects using Scilab. You will: Apply sample code to your engineering or science problems Work with Scilab arrays, functions, and loops Use Scilab’s plotting functions for data visualization Solve numerical computing and computational engineering problems with Scilab.
Programming languages (Electronic computers).
Computer mathematics.
Mathematical logic.
Numerical analysis.
Computer programming.
Open source software.
Programming Languages, Compilers, Interpreters.
Computational Mathematics and Numerical Analysis.
Mathematical Logic and Formal Languages.
Numeric Computing.
Programming Techniques.
Open Source.