org.hipparchus.optim.linear

Class LinearOptimizer

java.lang.Object

org.hipparchus.optim.BaseOptimizer<P>

org.hipparchus.optim.BaseMultivariateOptimizer<PointValuePair>

org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer

org.hipparchus.optim.linear.LinearOptimizer

Direct Known Subclasses:

SimplexSolver

public abstract class LinearOptimizer
extends MultivariateOptimizer

Base class for implementing linear optimizers.

Field Summary

Fields inherited from class org.hipparchus.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.
protected void	parseOptimizationData(OptimizationData... optData) Scans the list of (required and optional) optimization data that characterize the problem.

Methods inherited from class org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer

computeObjectiveValue, getGoalType

Methods inherited from class org.hipparchus.optim.BaseMultivariateOptimizer

getLowerBound, getStartPoint, getUpperBound

Methods inherited from class org.hipparchus.optim.BaseOptimizer

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

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)
                        throws MathIllegalStateException

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).

Important note: Subclasses must override BaseOptimizer.parseOptimizationData(OptimizationData[]) if they need to register their own options; but then, they must also call super.parseOptimizationData(optData) within that method.

Overrides:

optimize in class MultivariateOptimizer

Parameters:

optData - Optimization data. In addition to those documented in MultivariateOptimizer, this method will register the following data:

• LinearObjectiveFunction
• LinearConstraintSet
• NonNegativeConstraint

Returns:

a point/value pair that satisfies the convergence criteria.

Throws:

MathIllegalStateException - if the maximal number of iterations is exceeded.

parseOptimizationData

protected void parseOptimizationData(OptimizationData... optData)

Scans the list of (required and optional) optimization data that characterize the problem.

Overrides:

parseOptimizationData in class MultivariateOptimizer

Parameters:

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

• LinearObjectiveFunction
• LinearConstraintSet
• NonNegativeConstraint