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

Class FletcherPenalty

java.lang.Object

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

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

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

All Implemented Interfaces:

Function<Vector,Double>, RealScalarFunction

public class FletcherPenalty
extends MultiplierPenalty

This penalty function sums up the squared costs penalties. It applies to inequality constrained problems.

Nested Class Summary

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

Function.EvaluationException

Field Summary

Fields inherited from class dev.nm.solver.multivariate.constrained.general.penaltymethod.MultiplierPenalty

constraints, weights

Constructor Summary

Constructors

Constructor	Description
FletcherPenalty(LessThanConstraints constraints)	Construct a Fletcher penalty function from a collection of inequality constraints.
FletcherPenalty(LessThanConstraints constraints, double weight)	Construct a Fletcher penalty function from a collection of inequality constraints.
FletcherPenalty(LessThanConstraints constraints, double[] weights)	Construct a Fletcher penalty function from a collection of inequality constraints.

Method Summary

Modifier and Type	Method	Description
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.MultiplierPenalty

dimensionOfDomain

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

FletcherPenalty

public FletcherPenalty(LessThanConstraints constraints,
 double[] weights)

Construct a Fletcher penalty function from a collection of inequality constraints.

Parameters:

constraints - a collection of inequality constraints

weights - the weights assigned to the constraints

FletcherPenalty

public FletcherPenalty(LessThanConstraints constraints,
 double weight)

Construct a Fletcher penalty function from a collection of inequality constraints. We assign the same weight to all constraints.

Parameters:

constraints - a collection of inequality constraints

weight - the same weight assigned to the constraints

FletcherPenalty

public FletcherPenalty(LessThanConstraints constraints)

Construct a Fletcher penalty function from a collection of inequality constraints. We assign the same default weight to all constraints.

Parameters:

constraints - a collection of inequality constraints

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)