org.apache.commons.math3.optim

Class BaseMultivariateOptimizer<PAIR>

java.lang.Object

org.apache.commons.math3.optim.BaseOptimizer<PAIR>

org.apache.commons.math3.optim.BaseMultivariateOptimizer<PAIR>

Type Parameters:

PAIR - Type of the point/value pair returned by the optimization algorithm.

Direct Known Subclasses:

BaseMultiStartMultivariateOptimizer, MultivariateOptimizer, MultivariateVectorOptimizer

public abstract class BaseMultivariateOptimizer<PAIR>
extends BaseOptimizer<PAIR>

Base class for implementing optimizers for multivariate functions. It contains the boiler-plate code for initial guess and bounds specifications. It is not a "user" class.

Since:

3.1

Method Summary

Modifier and Type	Method and Description
double[]	getLowerBound()
double[]	getStartPoint() Gets the initial guess.
double[]	getUpperBound()
PAIR	optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods inherited from class org.apache.commons.math3.optim.BaseOptimizer

getConvergenceChecker, getEvaluations, getIterations, getMaxEvaluations, getMaxIterations, optimize

Methods inherited from class java.lang.Object

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

Method Detail

optimize

public PAIR 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).

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 BaseOptimizer<PAIR>

Parameters:

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

• InitialGuess
• SimpleBounds

Returns:

a point/value pair that satisfies the convergence criteria.

getStartPoint

public double[] getStartPoint()

Gets the initial guess.

Returns:

the initial guess, or null if not set.

getLowerBound

public double[] getLowerBound()

Returns:

the lower bounds, or null if not set.

getUpperBound

public double[] getUpperBound()

Returns:

the upper bounds, or null if not set.