org.apache.commons.math3.optim.linear
Class LinearOptimizer

java.lang.Object
  org.apache.commons.math3.optim.BaseOptimizer<PAIR>
      org.apache.commons.math3.optim.BaseMultivariateOptimizer<PointValuePair>
          org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
              org.apache.commons.math3.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 1443444 2013-02-07 12:41:36Z erans $

LinearOptimizer

protected LinearOptimizer()

Simple constructor with default settings.

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 TooManyIterationsException

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 satifies the convergence criteria.

Throws:

TooManyIterationsException - 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