org.gersteinlab.regulation.numeric
Class DifferentiableMultivariateFunction

java.lang.Object
  org.gersteinlab.regulation.numeric.MultivariateFunction
      org.gersteinlab.regulation.numeric.DifferentiableMultivariateFunction

Direct Known Subclasses:

DoublyDifferentiableMultivariateFunction

public abstract class DifferentiableMultivariateFunction
extends MultivariateFunction

        A class that represents a differentiable multivariate real function.
        Each inherited class should implement at least one of gf(double) and
        gf().
        

Version:

1.0 (August 29, 2008)

        Change History:
        1.0     - Initial version
        

Author:

Kevin Yuk-Lap Yip

Field Summary

Fields inherited from class org.gersteinlab.regulation.numeric.MultivariateFunction

xStored

Constructor Summary

DifferentiableMultivariateFunction()

Method Summary

double[]	gf() Evaluate the gradient of the function at the stored point.
double[]	gf(double[] x) Evaluate the gradient of the function at a point.

Methods inherited from class org.gersteinlab.regulation.numeric.MultivariateFunction

f, f, set

Methods inherited from class java.lang.Object

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

Constructor Detail

DifferentiableMultivariateFunction

public DifferentiableMultivariateFunction()

Method Detail

gf

public double[] gf(double[] x)

Evaluate the gradient of the function at a point.

Parameters:

x - The point

Returns:

The gradient of the function at the point

gf

public double[] gf()

Evaluate the gradient of the function at the stored point.

Returns:

The gradient of the function at the point