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 7721 2013-02-14 14:07:13Z CardosoP $
Constructor Summary |
protected |
LinearOptimizer()
Simple constructor with default settings. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
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).
- 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.
Copyright © 2016 CNES. All Rights Reserved.