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

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

All Implemented Interfaces:

Function, RealScalarFunction

public class SumOfPenalties
extends PenaltyFunction

This penalty function sums up the costs from a set of constituent penalty functions. This allows us to build a new penalty function from existing ones. It applies to any constrained optimization problems.

Nested Class Summary

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

Function.EvaluationException

Field Summary

PenaltyFunction[]

penalties the constituent penalty functions

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

dimensionality

Constructor Summary

SumOfPenalties(PenaltyFunction... penalties)
Construct a SumOfPenalties penalty function from a set of penalty functions.

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

Field Detail

penalties

public final PenaltyFunction[] penalties

the constituent penalty functions

Constructor Detail

SumOfPenalties

public SumOfPenalties(PenaltyFunction... penalties)

Construct a SumOfPenalties penalty function from a set of penalty functions.

The penalties must have the same dimension.

Parameters:

penalties - the constituent penalty functions

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