org.apache.commons.math3.optimization.fitting
Class CurveFitter.TheoreticalValuesFunction

java.lang.Object
  org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction

All Implemented Interfaces:

MultivariateDifferentiableVectorFunction, MultivariateVectorFunction

Enclosing class:

CurveFitter<T extends ParametricUnivariateFunction>

private class CurveFitter.TheoreticalValuesFunction
extends Object
implements MultivariateDifferentiableVectorFunction

Vectorial function computing function theoretical values.

Field Summary

private ParametricUnivariateFunction

f Function to fit.

Constructor Summary

CurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction f)
Simple constructor.

Method Summary

DerivativeStructure[]	value(DerivativeStructure[] point) Compute the value for the function at the given point.
double[]	value(double[] point) Compute the value for the function at the given point.

Methods inherited from class java.lang.Object

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

Field Detail

f

private final ParametricUnivariateFunction f

Function to fit.

Constructor Detail

CurveFitter.TheoreticalValuesFunction

public CurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction f)

Simple constructor.

Parameters:

f - function to fit.

Method Detail

value

public double[] value(double[] point)

Compute the value for the function at the given point.

Specified by:

value in interface MultivariateVectorFunction

Parameters:

point - point at which the function must be evaluated

Returns:

function value for the given point

value

public DerivativeStructure[] value(DerivativeStructure[] point)

Compute the value for the function at the given point.

Specified by:

value in interface MultivariateDifferentiableVectorFunction

Parameters:

point - point at which the function must be evaluated

Returns:

function value for the given point