Check sort/Visual Basic/Performance Analysis/Rapid Sort

== Table of Performance Values ==
==== Regression Analysis ====
The following table provvides the values of the constraints under which regression analysis of the performance data was performed.
 Constraints 
 	Value 	Units
Primary array 	9,999,999	Cells
Secondary array 	7,505,468	Items
Key length 	1 to 8 	Digits
Setup timeTime for setup refers to the time required to index the array variables with input data and increment the indexed variable's contents. 	5.875 	Seconds
Sort time Time for sort refers to the time required to parse the array, i.e., sequentially list or print indexes of variables with non-zero values.	1.484 	Seconds
Total Ratio 	.0.2526 	Percent
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==== Class Determination====
Class notated sort routines are categorized according to the Chi Square analysis of linear (L), parabolic {P), logarithmic (Ln) and exponential (E) best fit regression analysis applied to their performance data produced under a specified set of constraints. Class notation is used in preference to Theta notation, a form of Big O notation, since the advantage Class notation offers is to provide the values of the equation parameters obtained from regression analysis of the performance data such as in the case of a linear equation best Chi Square fit of the value for slope (or seconds per item) in the case of a Class L (linear equation) category best fit. This additional information allows the programmer or user to select the best sort routine for his own application based upon the actual number of items which must be sorted per unit time or the time limit to sort a specific number of items. Since the Check sort performance best fits the Class L category the values for slope m and constant c for the linear equation f(x)= m*x+c can be determined by a best fit linear regression analysis and provided in the table below: 
 Class L
Routine	Slope 	c
Setup 	0.058192715	0
Sort 	0.0144728 	0
Sort time in this case is 24.87% of setup time {0.0144728 \choose 0.058192715}, If a setup slope of .025 is determined by empirical analysis using another machine the projected results would indicate a sorting rate of (.025 *.2487) or 0.00622 seconds per item or the ability to sort 16,083,332 items per second assuming the ratio of setup to sort time will not change from machine to machine for the same implementation of the same language.
==notes==