edu.stanford.rsl.jpop

Interface HessianOptimizableFunction

All Superinterfaces:

GradientOptimizableFunction, OptimizableFunction

All Known Implementing Classes:

UncminTest_f77

public interface HessianOptimizableFunction
extends GradientOptimizableFunction

Method Summary

Modifier and Type	Method and Description
double[][]	hessian(double[] x, int block) Computes the Hessian matrix at position x.

Methods inherited from interface edu.stanford.rsl.jpop.GradientOptimizableFunction

gradient

Methods inherited from interface edu.stanford.rsl.jpop.OptimizableFunction

evaluate, getNumberOfProcessingBlocks, setNumberOfProcessingBlocks

Method Detail

hessian

double[][] hessian(double[] x,
                   int block)

Computes the Hessian matrix at position x. (Note that x is a Fortran Array which starts at 1.)

Parameters:

x -

block - the block identifier. First block is 0. block is < getNumberOfProcessingBlocks().

Returns:

the Hessian at x. (In Fortran Style)