fr.cnes.sirius.patrius.math.optim.linear

Class LinearOptimizer

java.lang.Object

fr.cnes.sirius.patrius.math.optim.BaseOptimizer<T>

fr.cnes.sirius.patrius.math.optim.BaseMultivariateOptimizer<PointValuePair>

fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.MultivariateOptimizer

fr.cnes.sirius.patrius.math.optim.linear.LinearOptimizer

Direct Known Subclasses:

SimplexSolver

public abstract class LinearOptimizer
extends MultivariateOptimizer

Base class for implementing linear optimizers.

Since:

3.1

Version:

$Id: LinearOptimizer.java 18108 2017-10-04 06:45:27Z bignon $

Field Summary

Fields inherited from class fr.cnes.sirius.patrius.math.optim.BaseOptimizer

evaluations, iterations

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	LinearOptimizer() Simple constructor with default settings.

Method Summary

Modifier and Type	Method and Description
protected Collection<LinearConstraint>	getConstraints()
protected LinearObjectiveFunction	getFunction()
protected boolean	isRestrictedToNonNegative()
PointValuePair	optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods inherited from class fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.MultivariateOptimizer

computeObjectiveValue, getGoalType

Methods inherited from class fr.cnes.sirius.patrius.math.optim.BaseMultivariateOptimizer

getLowerBound, getStartPoint, getUpperBound

Methods inherited from class fr.cnes.sirius.patrius.math.optim.BaseOptimizer

doOptimize, getConvergenceChecker, getEvaluations, getIterations, getMaxEvaluations, getMaxIterations, incrementEvaluationCount, incrementIterationCount

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearOptimizer

protected LinearOptimizer()

Simple constructor with default settings.

Method Detail

isRestrictedToNonNegative

protected boolean isRestrictedToNonNegative()

Returns:

true if the variables are restricted to non-negative values.

getFunction

protected LinearObjectiveFunction getFunction()

Returns:

the optimization type.

getConstraints

protected Collection<LinearConstraint> getConstraints()

Returns:

the optimization type.

optimize

public PointValuePair optimize(OptimizationData... optData)

Stores data and performs the optimization.
The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.
When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).

Overrides:

optimize in class MultivariateOptimizer

Parameters:

optData - Optimization data. The following data will be looked for:

• MaxIter
• LinearObjectiveFunction
• LinearConstraintSet
• NonNegativeConstraint

Returns:

a point/value pair that satifies the convergence criteria.

Throws:

TooManyIterationsException - if the maximal number of iterations is exceeded.