org.apache.commons.math3.analysis.differentiation
Class GradientFunction

java.lang.Object
  extended by org.apache.commons.math3.analysis.differentiation.GradientFunction
All Implemented Interfaces:
MultivariateVectorFunction

public class GradientFunction
extends Object
implements MultivariateVectorFunction

Class representing the gradient of a multivariate function.

The vectorial components of the function represent the derivatives with respect to each function parameters.

Since:
3.1
Version:
$Id: GradientFunction.java 7721 2013-02-14 14:07:13Z CardosoP $

Constructor Summary
GradientFunction(MultivariateDifferentiableFunction f)
          Simple constructor.
 
Method Summary
 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
 

Constructor Detail

GradientFunction

public GradientFunction(MultivariateDifferentiableFunction f)
Simple constructor.

Parameters:
f - underlying real-valued function
Method Detail

value

public double[] value(double[] point)
               throws IllegalArgumentException
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
Throws:
IllegalArgumentException - if points dimension is wrong


Copyright © 2016 CNES. All Rights Reserved.