Package methods

Class FastGradientDescentMethod

java.lang.Object

methods.AbstractGradientMethod

methods.FastGradientDescentMethod

All Implemented Interfaces:

Method

public class FastGradientDescentMethod
extends AbstractGradientMethod

Class of Fast Gradient realisation

Field Summary

Fields inherited from class methods.AbstractGradientMethod

epsilon, log, out

Constructor Summary

Constructors

Constructor	Description
FastGradientDescentMethod(double epsilon)	Standard constructor
FastGradientDescentMethod(double epsilon, boolean log, java.lang.String fileName)	Full constructor

Method Summary

Modifier and Type	Method	Description
private double	calculateStep(double[] x, double[] gradient, Function function)	function for computing of the step.
double[]	findMinimum(Function function, double[] x0)	search minimum of the function with start from the point in x_0

Methods inherited from class methods.AbstractGradientMethod

log

Methods inherited from class java.lang.Object

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

Constructor Details

FastGradientDescentMethod

public FastGradientDescentMethod(double epsilon)

Standard constructor

Parameters:

epsilon - AbstractGradientMethod.epsilon

See Also:

AbstractGradientMethod(double)

FastGradientDescentMethod

public FastGradientDescentMethod(double epsilon, boolean log, java.lang.String fileName) throws java.io.FileNotFoundException

Full constructor

Parameters:

epsilon - AbstractGradientMethod.epsilon

log - AbstractGradientMethod.log

fileName - output file for AbstractGradientMethod.out

Throws:

java.io.FileNotFoundException - if specified output file was not found

See Also:

AbstractGradientMethod(double, boolean, String)

Method Details

findMinimum

public double[] findMinimum(Function function, double[] x0) throws java.io.IOException

Description copied from interface: Method

search minimum of the function with start from the point in x_0

Parameters:

function - explores function

x0 - point for the start of exploring

Returns:

minimum of the function

Throws:

java.io.IOException - exception when log from function computing throw exception

calculateStep

private double calculateStep(double[] x, double[] gradient, Function function)

function for computing of the step.

Parameters:

x - start point

gradient - gradient of the fucntion

function - explored function

Returns:

step for findMinimum(Function, double[])