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<Vector,java.lang.Double>, RealScalarFunction, java.io.Serializable

public class ZERO
extends PenaltyFunction

This is a dummy zero cost (no cost) penalty function.

See Also:

Serialized Form

Nested Class Summary

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

Function.EvaluationException

Constructor Summary

Constructors

Constructor and Description
ZERO(int dimension) Construct a no-cost penalty function.

Method Summary

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

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

dimensionOfRange

Methods inherited from class java.lang.Object

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

Constructor Detail

ZERO

public ZERO(int dimension)

Construct a no-cost penalty function.

Parameters:

dimension - the problem dimension

Method Detail

evaluate

public java.lang.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