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

java.lang.Object
  extended by org.apache.commons.math3.optim.BaseOptimizer<PAIR>
      extended by 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
Version:
$Id: BaseMultivariateOptimizer.java 1443444 2013-02-07 12:41:36Z erans $

Field Summary
 
Fields inherited from class org.apache.commons.math3.optim.BaseOptimizer
evaluations, iterations
 
Constructor Summary
protected BaseMultivariateOptimizer(ConvergenceChecker<PAIR> checker)
           
 
Method Summary
 double[] getLowerBound()
           
 double[] getStartPoint()
          Gets the initial guess.
 double[] getUpperBound()
           
 PAIR 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.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
 

Constructor Detail

BaseMultivariateOptimizer

protected BaseMultivariateOptimizer(ConvergenceChecker<PAIR> checker)
Parameters:
checker - Convergence checker.
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:
Returns:
a point/value pair that satifies the convergence criteria.

parseOptimizationData

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

Overrides:
parseOptimizationData in class BaseOptimizer<PAIR>
Parameters:
optData - Optimization data. The following data will be looked for:

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.


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