com.imsl.datamining.neural
Class QuasiNewtonTrainer.BlockGradObjective

java.lang.Object
  com.imsl.datamining.neural.QuasiNewtonTrainer.Objective
      com.imsl.datamining.neural.QuasiNewtonTrainer.GradObjective
          com.imsl.datamining.neural.QuasiNewtonTrainer.BlockGradObjective

All Implemented Interfaces:

MinUnconMultiVar.Function, MinUnconMultiVar.Gradient

Enclosing class:

QuasiNewtonTrainer

protected class QuasiNewtonTrainer.BlockGradObjective

extends QuasiNewtonTrainer.GradObjective

Field Summary

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

nFunctionEvaluations, nObs, nY

Constructor Summary

protected

QuasiNewtonTrainer.BlockGradObjective()

Method Summary

double	f(double[] weights) Public interface for the multivariate function to be minimized.
void	gradient(double[] weights, double[] gradient) Public interface for the gradient of 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.BlockGradObjective

protected QuasiNewtonTrainer.BlockGradObjective()

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

gradient

public void gradient(double[] weights,
                     double[] gradient)

Description copied from interface: MinUnconMultiVar.Gradient

Public interface for the gradient of the multivariate function to be minimized.

Specified by:

gradient in interface MinUnconMultiVar.Gradient

Overrides:

gradient in class QuasiNewtonTrainer.GradObjective