com.imsl.datamining.neural

Class QuasiNewtonTrainer.BlockObjective

java.lang.Object

com.imsl.datamining.neural.QuasiNewtonTrainer.Objective

com.imsl.datamining.neural.QuasiNewtonTrainer.BlockObjective

All Implemented Interfaces:

MinUnconMultiVar.Function

Enclosing class:

QuasiNewtonTrainer

protected class QuasiNewtonTrainer.BlockObjective
extends QuasiNewtonTrainer.Objective

Field Summary

Fields inherited from class com.imsl.datamining.neural.QuasiNewtonTrainer.Objective

nFunctionEvaluations, nObs, nY

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	QuasiNewtonTrainer.BlockObjective()

Method Summary

Methods

Modifier and Type	Method and Description
double	f(double[] weights) Public interface for the multivariate function to be minimized.

Methods inherited from class java.lang.Object

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

Constructor Detail

QuasiNewtonTrainer.BlockObjective

protected QuasiNewtonTrainer.BlockObjective()

Method Detail

f

public double f(double[] weights)

Description copied from interface: MinUnconMultiVar.Function

Public interface for the multivariate function to be minimized.

Specified by:

f in interface MinUnconMultiVar.Function

Overrides:

f in class QuasiNewtonTrainer.Objective

Parameters:

weights - a double array, the point at which the function is to be evaluated

Returns:

a double, the value of the function at x