Package dev.nm.solver.multivariate.constrained.general.penaltymethod

Class SumOfPenalties

java.lang.Object

dev.nm.solver.multivariate.constrained.general.penaltymethod.PenaltyFunction

dev.nm.solver.multivariate.constrained.general.penaltymethod.SumOfPenalties

All Implemented Interfaces:

Function<Vector,Double>, RealScalarFunction

public class SumOfPenalties
extends PenaltyFunction

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

Nested Class Summary

Nested classes/interfaces inherited from interface dev.nm.analysis.function.Function

Function.EvaluationException

Constructor Summary

Constructors

Constructor	Description
SumOfPenalties(PenaltyFunction... penalties)	Construct a sum-of-penalties penalty function from a set of penalty functions.

Method Summary

Modifier and Type	Method	Description
int	dimensionOfDomain()	Get the number of variables the function has.
Double	evaluate(Vector x)	Evaluate the function f at x, where x is from the domain.

Methods inherited from class dev.nm.solver.multivariate.constrained.general.penaltymethod.PenaltyFunction

dimensionOfRange

Methods inherited from class java.lang.Object

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

Constructor Details

SumOfPenalties

public SumOfPenalties(PenaltyFunction... penalties)

Construct a sum-of-penalties penalty function from a set of penalty functions. The penalties must have the same dimension.

Parameters:

penalties - the constituent penalty functions

Method Details

evaluate

public Double evaluate(Vector x)

Description copied from interface: Function

Evaluate the function f at x, where x is from the domain.

Parameters:

x - x

Returns:

f(x)

dimensionOfDomain

public int dimensionOfDomain()

Description copied from interface: Function

Get the number of variables the function has. For example, for a univariate function, the domain dimension is 1; for a bivariate function, the domain dimension is 2.

Returns:

the number of variables