com.itemanalysis.psychometrics.analysis

Class ExampleMultivariateFunction

java.lang.Object

com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction

com.itemanalysis.psychometrics.analysis.ExampleMultivariateFunction

All Implemented Interfaces:

org.apache.commons.math3.analysis.MultivariateFunction

public class ExampleMultivariateFunction
extends AbstractMultivariateFunction

An instantiation of AbstractMultivariateFunction for testing purposes only. It exists to check the accuracy of the numerical gradientAt methods.

Constructor Summary

Constructors

Constructor and Description
ExampleMultivariateFunction(int equation)

Method Summary

Modifier and Type	Method and Description
double	value(double[] x)
double	value1(double[] x)
double	value2(double[] x)

Methods inherited from class com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction

gradient, gradientAt, hessianAt, machineEpsilon, partialDerivative

Methods inherited from class java.lang.Object

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

Constructor Detail

ExampleMultivariateFunction

public ExampleMultivariateFunction(int equation)

Method Detail

value

public double value(double[] x)

value1

public double value1(double[] x)

value2

public double value2(double[] x)