fr.cnes.sirius.patrius.math.optim

Class BaseOptimizer<T>

java.lang.Object

fr.cnes.sirius.patrius.math.optim.BaseOptimizer<T>

Type Parameters:

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

Direct Known Subclasses:

BaseMultivariateOptimizer, UnivariateOptimizer

public abstract class BaseOptimizer<T>
extends Object

Base class for implementing optimizers. It contains the boiler-plate code for counting the number of evaluations of the objective function and the number of iterations of the algorithm, and storing the convergence checker. It is not a "user" class.

Since:

3.1

Version:

$Id: BaseOptimizer.java 18108 2017-10-04 06:45:27Z bignon $

Field Summary

Fields

Modifier and Type	Field and Description
protected Incrementor	evaluations Evaluations counter.
protected Incrementor	iterations Iterations counter.

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	BaseOptimizer(ConvergenceChecker<T> checkerIn)

Method Summary

Modifier and Type	Method and Description
protected abstract T	doOptimize() Performs the bulk of the optimization algorithm.
ConvergenceChecker<T>	getConvergenceChecker() Gets the convergence checker.
int	getEvaluations() Gets the number of evaluations of the objective function.
int	getIterations() Gets the number of iterations performed by the algorithm.
int	getMaxEvaluations() Gets the maximal number of function evaluations.
int	getMaxIterations() Gets the maximal number of iterations.
protected void	incrementEvaluationCount() Increment the evaluation count.
protected void	incrementIterationCount() Increment the iteration count.
T	optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods inherited from class java.lang.Object

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

Field Detail

evaluations

protected final Incrementor evaluations

Evaluations counter.

iterations

protected final Incrementor iterations

Iterations counter.

Constructor Detail

BaseOptimizer

protected BaseOptimizer(ConvergenceChecker<T> checkerIn)

Parameters:

checkerIn - Convergence checker.

Method Detail

getMaxEvaluations

public int getMaxEvaluations()

Gets the maximal number of function evaluations.

Returns:

the maximal number of function evaluations.

getEvaluations

public int getEvaluations()

Gets the number of evaluations of the objective function. The number of evaluations corresponds to the last call to the optimize method. It is 0 if the method has not been called yet.

Returns:

the number of evaluations of the objective function.

getMaxIterations

public int getMaxIterations()

Gets the maximal number of iterations.

Returns:

the maximal number of iterations.

getIterations

public int getIterations()

Gets the number of iterations performed by the algorithm. The number iterations corresponds to the last call to the optimize method. It is 0 if the method has not been called yet.

Returns:

the number of evaluations of the objective function.

getConvergenceChecker

public ConvergenceChecker<T> getConvergenceChecker()

Gets the convergence checker.

Returns:

the object used to check for convergence.

optimize

public T 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).

Parameters:

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

• MaxEval
• MaxIter

Returns:

a point/value pair that satifies the convergence criteria.

Throws:

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

TooManyIterationsException - if the maximal number of iterations is exceeded.

doOptimize

protected abstract T doOptimize()

Performs the bulk of the optimization algorithm.

Returns:

the point/value pair giving the optimal value of the objective function.

incrementEvaluationCount

protected void incrementEvaluationCount()

Increment the evaluation count.

Throws:

TooManyEvaluationsException - if the allowed evaluations have been exhausted.

incrementIterationCount

protected void incrementIterationCount()

Increment the iteration count.

Throws:

TooManyIterationsException - if the allowed iterations have been exhausted.