edu.stanford.rsl.jpop

Interface GradientOptimizableFunction

All Superinterfaces:

OptimizableFunction

All Known Subinterfaces:

HessianOptimizableFunction

All Known Implementing Classes:

UncminTest_f77

public interface GradientOptimizableFunction
extends OptimizableFunction

Method Summary

Modifier and Type	Method and Description
double[]	gradient(double[] x, int block) Computes the Gradient at position x.

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

evaluate, getNumberOfProcessingBlocks, setNumberOfProcessingBlocks

Method Detail

gradient

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

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

Parameters:

x - the position

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

Returns:

the gradient at x. (In Fortran Style)