org.gersteinlab.regulation.numeric
Class DoublyDifferentiableMultivariateFunction

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

Direct Known Subclasses:

PolynomialSqrDiff, RateModelSqrDiff

public abstract class DoublyDifferentiableMultivariateFunction
extends DifferentiableMultivariateFunction

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

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

DoublyDifferentiableMultivariateFunction()

Method Summary

double[][]	hf() Evaluate the Hessian of the function at the stored point.
double[][]	hf(double[] x) Evaluate the Hessian of the function at a point.

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

gf, gf

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

DoublyDifferentiableMultivariateFunction

public DoublyDifferentiableMultivariateFunction()

Method Detail

hf

public double[][] hf(double[] x)

Evaluate the Hessian of the function at a point.

Parameters:

x - The point

Returns:

The Hessian of the function at the point

hf

public double[][] hf()

Evaluate the Hessian of the function at the stored point.

Returns:

The Hessian of the function at the point