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

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

All Implemented Interfaces:

DifferentiableMultivariateVectorialFunction, MultivariateVectorialFunction

Enclosing class:

CurveFitter

private class CurveFitter.TheoreticalValuesFunction
extends Object
implements DifferentiableMultivariateVectorialFunction

Vectorial function computing function theoretical values.

Field Summary

private ParametricRealFunction

f Function to fit.

Constructor Summary

CurveFitter.TheoreticalValuesFunction(ParametricRealFunction f)
Simple constructor.

Method Summary

MultivariateMatrixFunction	jacobian() Returns the jacobian function.
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 ParametricRealFunction f

Function to fit.

Constructor Detail

CurveFitter.TheoreticalValuesFunction

public CurveFitter.TheoreticalValuesFunction(ParametricRealFunction f)

Simple constructor.

Parameters:

f - function to fit.

Method Detail

jacobian

public MultivariateMatrixFunction jacobian()

Returns the jacobian function.

Specified by:

jacobian in interface DifferentiableMultivariateVectorialFunction

Returns:

the jacobian function

value

public double[] value(double[] point)
               throws FunctionEvaluationException,
                      IllegalArgumentException

Compute the value for the function at the given point.

Specified by:

value in interface MultivariateVectorialFunction

Parameters:

point - point at which the function must be evaluated

Returns:

function value for the given point

Throws:

FunctionEvaluationException - if the function evaluation fails

IllegalArgumentException - if points dimension is wrong