org.apache.commons.math.optimization.fitting
Interface ParametricRealFunction

All Known Implementing Classes:

ParametricGaussianFunction

public interface ParametricRealFunction

An interface representing a real function that depends on one independent variable plus some extra parameters.

Version:

$Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $

Method Summary

double[]	gradient(double x, double[] parameters) Compute the gradient of the function with respect to its parameters.
double	value(double x, double[] parameters) Compute the value of the function.

Method Detail

value

double value(double x,
             double[] parameters)
             throws FunctionEvaluationException

Compute the value of the function.

Parameters:

x - the point for which the function value should be computed

parameters - function parameters

Returns:

the value

Throws:

FunctionEvaluationException - if the function evaluation fails

gradient

double[] gradient(double x,
                  double[] parameters)
                  throws FunctionEvaluationException

Compute the gradient of the function with respect to its parameters.

Parameters:

x - the point for which the function value should be computed

parameters - function parameters

Returns:

the value

Throws:

FunctionEvaluationException - if the function evaluation fails