com.imsl.math

Interface MinConNonlin.Gradient

All Superinterfaces:

MinConNonlin.Function

Enclosing class:

MinConNonlin

Deprecated.

MinConNonlin has been replaced by MinConNLP.

public static interface MinConNonlin.Gradient
extends MinConNonlin.Function

Public interface for the user supplied function to MinConNonlin object.

Method Summary

Modifier and Type	Method and Description
void	gradient(int mTotalConstraints, int mEqualityConstraints, double[] x, boolean[] active, double f, double[] g, double[] df, double[][] dg) Deprecated. Computes the value of the gradient of the function at the given point.

Methods inherited from interface com.imsl.math.MinConNonlin.Function

f

Method Detail

gradient

void gradient(int mTotalConstraints,
              int mEqualityConstraints,
              double[] x,
              boolean[] active,
              double f,
              double[] g,
              double[] df,
              double[][] dg)

Deprecated.

Computes the value of the gradient of the function at the given point.

Parameters:

mTotalConstraints - an input int value specifying the total number of constraints.

mEqualityConstraints - an input int value specyfying the number of equality constraints

x - an input double array, the point at which the function is to be evaluated

active - an input boolean array, specifying the active constraints

f - an input double, the value of the function at x

g - an input double array containing the values of the constraints at point x.

df - an output doublearray containing the values of the gradient of the objective function at x

dg - an output MMAX by N double array containing the values of the gradients for the active constraints. MMAX is the maximum of 1 and mTotalConstraints. N is the number of variables.