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 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
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 *      http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.commons.math3.optim;

import org.apache.commons.math3.exception.TooManyEvaluationsException;
import org.apache.commons.math3.exception.TooManyIterationsException;
import org.apache.commons.math3.util.Incrementor;

Base class for implementing optimization problems. 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.
Type parameters:
  • <PAIR> – Type of the point/value pair returned by the optimization algorithm.
Since:3.3
/** * Base class for implementing optimization problems. 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. * * @param <PAIR> Type of the point/value pair returned by the optimization algorithm. * @since 3.3 */
public abstract class AbstractOptimizationProblem<PAIR> implements OptimizationProblem<PAIR> {
Callback to use for the evaluation counter.
/** Callback to use for the evaluation counter. */
private static final MaxEvalCallback MAX_EVAL_CALLBACK = new MaxEvalCallback();
Callback to use for the iteration counter.
/** Callback to use for the iteration counter. */
private static final MaxIterCallback MAX_ITER_CALLBACK = new MaxIterCallback();
max evaluations
/** max evaluations */
private final int maxEvaluations;
max iterations
/** max iterations */
private final int maxIterations;
Convergence checker.
/** Convergence checker. */
private final ConvergenceChecker<PAIR> checker;
Create an AbstractOptimizationProblem from the given data.
Params:
  • maxEvaluations – the number of allowed model function evaluations.
  • maxIterations – the number of allowed iterations.
  • checker – the convergence checker.
/** * Create an {@link AbstractOptimizationProblem} from the given data. * * @param maxEvaluations the number of allowed model function evaluations. * @param maxIterations the number of allowed iterations. * @param checker the convergence checker. */
protected AbstractOptimizationProblem(final int maxEvaluations, final int maxIterations, final ConvergenceChecker<PAIR> checker) { this.maxEvaluations = maxEvaluations; this.maxIterations = maxIterations; this.checker = checker; }
{@inheritDoc}
/** {@inheritDoc} */
public Incrementor getEvaluationCounter() { return new Incrementor(this.maxEvaluations, MAX_EVAL_CALLBACK); }
{@inheritDoc}
/** {@inheritDoc} */
public Incrementor getIterationCounter() { return new Incrementor(this.maxIterations, MAX_ITER_CALLBACK); }
{@inheritDoc}
/** {@inheritDoc} */
public ConvergenceChecker<PAIR> getConvergenceChecker() { return checker; }
Defines the action to perform when reaching the maximum number of evaluations.
/** Defines the action to perform when reaching the maximum number of evaluations. */
private static class MaxEvalCallback implements Incrementor.MaxCountExceededCallback {
{@inheritDoc}
Throws:
/** * {@inheritDoc} * * @throws TooManyEvaluationsException */
public void trigger(int max) { throw new TooManyEvaluationsException(max); } }
Defines the action to perform when reaching the maximum number of evaluations.
/** Defines the action to perform when reaching the maximum number of evaluations. */
private static class MaxIterCallback implements Incrementor.MaxCountExceededCallback {
{@inheritDoc}
Throws:
/** * {@inheritDoc} * * @throws TooManyIterationsException */
public void trigger(int max) { throw new TooManyIterationsException(max); } } }