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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * 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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
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.
 *
 * @param  Type of the point/value pair returned by the optimization algorithm.
 * @since 3.3
 */
public abstract class AbstractOptimizationProblem
        implements OptimizationProblem {

    /** Callback to use for the evaluation counter. */
    private static final MaxEvalCallback MAX_EVAL_CALLBACK = new MaxEvalCallback();
    /** Callback to use for the iteration counter. */
    private static final MaxIterCallback MAX_ITER_CALLBACK = new MaxIterCallback();

    /** max evaluations */
    private final int maxEvaluations;
    /** max iterations */
    private final int maxIterations;
    /** Convergence checker. */
    private final ConvergenceChecker 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 checker) {
        this.maxEvaluations = maxEvaluations;
        this.maxIterations = maxIterations;
        this.checker = checker;
    }

    /** {@inheritDoc} */
    public Incrementor getEvaluationCounter() {
        return new Incrementor(this.maxEvaluations, MAX_EVAL_CALLBACK);
    }

    /** {@inheritDoc} */
    public Incrementor getIterationCounter() {
        return new Incrementor(this.maxIterations, MAX_ITER_CALLBACK);
    }

    /** {@inheritDoc} */
    public ConvergenceChecker getConvergenceChecker() {
        return checker;
    }

    /** Defines the action to perform when reaching the maximum number of evaluations. */
    private static class MaxEvalCallback
            implements Incrementor.MaxCountExceededCallback {
        /**
         * {@inheritDoc}
         *
         * @throws TooManyEvaluationsException
         */
        public void trigger(int max) {
            throw new TooManyEvaluationsException(max);
        }
    }

    /** Defines the action to perform when reaching the maximum number of evaluations. */
    private static class MaxIterCallback
            implements Incrementor.MaxCountExceededCallback {
        /**
         * {@inheritDoc}
         *
         * @throws TooManyIterationsException
         */
        public void trigger(int max) {
            throw new TooManyIterationsException(max);
        }
    }

}