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

java.lang.Object
  extended by org.apache.commons.math3.optim.BaseOptimizer<PAIR>
      extended by org.apache.commons.math3.optim.BaseMultivariateOptimizer<PointValuePair>
          extended by org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
              extended by 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: AbstractLinearOptimizer.java 1416643 2012-12-03 19:37:14Z tn $

Field Summary
private  LinearObjectiveFunction function
          Linear objective function.
private  Collection<LinearConstraint> linearConstraints
          Linear constraints.
private  boolean nonNegative
          Whether to restrict the variables to non-negative values.
 
Fields inherited from class org.apache.commons.math3.optim.BaseOptimizer
evaluations, iterations
 
Constructor Summary
protected LinearOptimizer()
          Simple constructor with default settings.
 
Method Summary
protected  Collection<LinearConstraint> getConstraints()
           
protected  LinearObjectiveFunction getFunction()
           
protected  boolean isRestrictedToNonNegative()
           
 PointValuePair optimize(OptimizationData... optData)
          Stores data and performs the optimization.
private  void parseOptimizationData(OptimizationData... optData)
          Scans the list of (required and optional) optimization data that characterize the problem.
 
Methods inherited from class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
computeObjectiveValue, getGoalType
 
Methods inherited from class org.apache.commons.math3.optim.BaseMultivariateOptimizer
getLowerBound, getStartPoint, getUpperBound
 
Methods inherited from class org.apache.commons.math3.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
 

Field Detail

function

private LinearObjectiveFunction function
Linear objective function.


linearConstraints

private Collection<LinearConstraint> linearConstraints
Linear constraints.


nonNegative

private boolean nonNegative
Whether to restrict the variables to non-negative values.

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 TooManyIterationsException
Stores data and performs the optimization.

Overrides:
optimize in class MultivariateOptimizer
Parameters:
optData - Optimization data. The following data will be looked for:
Returns:
a point/value pair that satifies the convergence criteria.
Throws:
TooManyIterationsException - if the maximal number of iterations is exceeded.

parseOptimizationData

private void parseOptimizationData(OptimizationData... optData)
Scans the list of (required and optional) optimization data that characterize the problem.

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


Copyright (c) 2003-2013 Apache Software Foundation