com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod
Class ZERO

java.lang.Object
  com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyFunction
      com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.ZERO

All Implemented Interfaces:

Function, RealScalarFunction

public class ZERO
extends PenaltyFunction

This class represents a dummy zero cost (no cost) penalty function.

Nested Class Summary

Nested classes/interfaces inherited from interface com.numericalmethod.suanshu.analysis.function.Function

Function.EvaluationException

Field Summary

Fields inherited from class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyFunction

dimensionality

Constructor Summary

ZERO(int dimensionality)
Construct a no-cost penalty function.

Method Summary

double

evaluate(double... x) A real function, f, takes a double array double[], {x0, x1, ..., xn} and maps it to a double, f(x0, x1, ..., xn)

Methods inherited from class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyFunction

dimension4Domain, dimension4Range

Methods inherited from class java.lang.Object

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

Constructor Detail

ZERO

public ZERO(int dimensionality)

Construct a no-cost penalty function.

Parameters:

dimensionality - dimensionality of the problem to be solved

Method Detail

evaluate

public double evaluate(double... x)

Description copied from interface: RealScalarFunction

A real function, f, takes a double array double[],

{x0, x1, ..., xn}

and maps it to a double,

f(x0, x1, ..., xn)

Parameters:

x - {x} = {x0, x1, ... xn}

Returns:

f({x}) as output