Package org.ddogleg.optimization.loss

Class LossCauchy.Function

java.lang.Object

org.ddogleg.optimization.loss.LossFunctionBase

org.ddogleg.optimization.loss.LossCauchy

org.ddogleg.optimization.loss.LossCauchy.Function

All Implemented Interfaces:

FunctionNtoS, LossFunction

Enclosing class:

LossCauchy

public static class LossCauchy.Function
extends LossCauchy
implements LossFunction

Implementation of the smooth Cauchy loss function

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
Function(double alpha)

Method Summary

Modifier and Type	Method	Description
double	process(double[] input)	Computes the output given an array of inputs.

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.LossFunction

fixate, getNumberOfFunctions, getNumOfInputsN, setNumberOfFunctions

Constructor Details

Function

public Function(double alpha)

Method Details

process

public double process(double[] input)

Description copied from interface: FunctionNtoS

Computes the output given an array of inputs.

Specified by:

process in interface FunctionNtoS

Parameters:

input - Array containing input values

Returns:

The output.