/* * 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 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. * * @param Type of the point/value pair returned by the optimization algorithm. * @since 3.1 */ public abstract class BaseOptimizer { /** Evaluations counter. */ protected final Incrementor evaluations; /** Iterations counter. */ protected final Incrementor iterations; /** Convergence checker. */ private final ConvergenceChecker checker; /** * @param checker Convergence checker. */ protected BaseOptimizer(ConvergenceChecker checker) { this(checker, 0, Integer.MAX_VALUE); } /** * @param checker Convergence checker. * @param maxEval Maximum number of objective function evaluations. * @param maxIter Maximum number of algorithm iterations. */ protected BaseOptimizer(ConvergenceChecker checker, int maxEval, int maxIter) { this.checker = checker; evaluations = new Incrementor(maxEval, new MaxEvalCallback()); iterations = new Incrementor(maxIter, new MaxIterCallback()); } /** * Gets the maximal number of function evaluations. * * @return the maximal number of function evaluations. */ public int getMaxEvaluations() { return evaluations.getMaximalCount(); } /** * Gets the number of evaluations of the objective function. The number of evaluations * corresponds to the last call to the {@code optimize} method. It is 0 if the method has not * been called yet. * * @return the number of evaluations of the objective function. */ public int getEvaluations() { return evaluations.getCount(); } /** * Gets the maximal number of iterations. * * @return the maximal number of iterations. */ public int getMaxIterations() { return iterations.getMaximalCount(); } /** * Gets the number of iterations performed by the algorithm. The number iterations corresponds * to the last call to the {@code optimize} method. It is 0 if the method has not been called * yet. * * @return the number of evaluations of the objective function. */ public int getIterations() { return iterations.getCount(); } /** * Gets the convergence checker. * * @return the object used to check for convergence. */ public ConvergenceChecker getConvergenceChecker() { return checker; } /** * 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 {@link * #parseOptimizationData(OptimizationData[])} if they need to register their own options; but * then, they must also call {@code super.parseOptimizationData(optData)} within that * method. * * @param optData Optimization data. This method will register the following data: *

    *
  • {@link MaxEval} *
  • {@link MaxIter} *
* * @return a point/value pair that satisfies the convergence criteria. * @throws TooManyEvaluationsException if the maximal number of evaluations is exceeded. * @throws TooManyIterationsException if the maximal number of iterations is exceeded. */ public PAIR optimize(OptimizationData... optData) throws TooManyEvaluationsException, TooManyIterationsException { // Parse options. parseOptimizationData(optData); // Reset counters. evaluations.resetCount(); iterations.resetCount(); // Perform optimization. return doOptimize(); } /** * Performs the optimization. * * @return a point/value pair that satisfies the convergence criteria. * @throws TooManyEvaluationsException if the maximal number of evaluations is exceeded. * @throws TooManyIterationsException if the maximal number of iterations is exceeded. */ public PAIR optimize() throws TooManyEvaluationsException, TooManyIterationsException { // Reset counters. evaluations.resetCount(); iterations.resetCount(); // Perform optimization. return doOptimize(); } /** * Performs the bulk of the optimization algorithm. * * @return the point/value pair giving the optimal value of the objective function. */ protected abstract PAIR doOptimize(); /** * Increment the evaluation count. * * @throws TooManyEvaluationsException if the allowed evaluations have been exhausted. */ protected void incrementEvaluationCount() throws TooManyEvaluationsException { evaluations.incrementCount(); } /** * Increment the iteration count. * * @throws TooManyIterationsException if the allowed iterations have been exhausted. */ protected void incrementIterationCount() throws TooManyIterationsException { iterations.incrementCount(); } /** * Scans the list of (required and optional) optimization data that characterize the problem. * * @param optData Optimization data. The following data will be looked for: *
    *
  • {@link MaxEval} *
  • {@link MaxIter} *
*/ protected void parseOptimizationData(OptimizationData... optData) { // The existing values (as set by the previous call) are reused if // not provided in the argument list. for (OptimizationData data : optData) { if (data instanceof MaxEval) { evaluations.setMaximalCount(((MaxEval) data).getMaxEval()); continue; } if (data instanceof MaxIter) { iterations.setMaximalCount(((MaxIter) data).getMaxIter()); continue; } } } /** 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); } } }