edu.jhu.bme.smile.commons.optimize.test
Class Test1DOptimizations

java.lang.Object
  edu.jhu.bme.smile.commons.optimize.test.Test1DOptimizations

public class Test1DOptimizations
extends java.lang.Object

Test class to test all 1D optimizers.

Author:

Yufeng Guo, Hanlin Wan

Field Summary

static int	iterations
static int	pickedFunc

Constructor Summary

Test1DOptimizations()

Method Summary

static void	BrentMethod1D() Brent's Method
static void	changeFunc() Changes the function to test.
static void	changeMinMax() Changes between finding minimum and maximum.
static void	funcInit() Initializes the function.
static void	GoldenSectionSearch1D() Golden Section Search
static void	main(java.lang.String[] args)
static void	NewtonMethod1D() Newton
static void	printResults(java.lang.String alg, java.lang.String status, long time, double tEx, double nEx, double error) Prints the results.
static void	resetVariables() Resets all variables.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

iterations

public static int iterations

pickedFunc

public static int pickedFunc

Constructor Detail

Test1DOptimizations

public Test1DOptimizations()

Method Detail

main

public static void main(java.lang.String[] args)

BrentMethod1D

public static void BrentMethod1D()

Brent's Method

GoldenSectionSearch1D

public static void GoldenSectionSearch1D()

Golden Section Search

NewtonMethod1D

public static void NewtonMethod1D()

Newton

changeFunc

public static void changeFunc()

Changes the function to test.

changeMinMax

public static void changeMinMax()

Changes between finding minimum and maximum.

funcInit

public static void funcInit()

Initializes the function.

resetVariables

public static void resetVariables()

Resets all variables.

printResults

public static void printResults(java.lang.String alg,
                                java.lang.String status,
                                long time,
                                double tEx,
                                double nEx,
                                double error)

Prints the results.

Parameters:

alg - algorithm used

status - status message

time - time spent optimizing

tEx - true extrema

nEx - calculated extrema

error - error