Package org.ddogleg.optimization.loss

Class LossCauchy.Gradient

java.lang.Object

org.ddogleg.optimization.loss.LossFunctionBase

org.ddogleg.optimization.loss.LossCauchy

org.ddogleg.optimization.loss.LossCauchy.Gradient

All Implemented Interfaces:

FunctionNtoN, LossFunctionGradient

Enclosing class:

LossCauchy

public static class LossCauchy.Gradient
extends LossCauchy
implements LossFunctionGradient

Implementation of the smooth Cauchy loss gradient

Nested Class Summary

Nested classes/interfaces inherited from class org.ddogleg.optimization.loss.LossCauchy

LossCauchy.Function, LossCauchy.Gradient

Field Summary

Fields inherited from class org.ddogleg.optimization.loss.LossCauchy

alpha

Fields inherited from class org.ddogleg.optimization.loss.LossFunctionBase

numberOfFunctions

Constructor Summary

Constructors

Constructor	Description
Gradient(double alpha)

Method Summary

Modifier and Type	Method	Description
void	process(double[] input, double[] output)	Processes the function.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.ddogleg.optimization.loss.LossFunctionGradient

getN, getNumberOfFunctions, setNumberOfFunctions

Constructor Details

Gradient

public Gradient(double alpha)

Method Details

process

public void process(double[] input,
 double[] output)

Description copied from interface: FunctionNtoN

Processes the function.

Specified by:

process in interface FunctionNtoN

Parameters:

input - Array with the inputs of length N. Not modified.

output - Array for storing the output of length N. Modified.