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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
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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* See the License for the specific language governing permissions and
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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);
}
}
}