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Java example source code file (MultivariateOptimizer.java)

This example Java source code file (MultivariateOptimizer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

basemultivariateoptimizer, goaltype, multivariatefunction, multivariateoptimizer, objectivefunction, optimizationdata, override, pointvaluepair, toomanyevaluationsexception

The MultivariateOptimizer.java Java example source code

/*
 * 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.nonlinear.scalar;

import org.apache.commons.math3.analysis.MultivariateFunction;
import org.apache.commons.math3.optim.BaseMultivariateOptimizer;
import org.apache.commons.math3.optim.OptimizationData;
import org.apache.commons.math3.optim.ConvergenceChecker;
import org.apache.commons.math3.optim.PointValuePair;
import org.apache.commons.math3.exception.TooManyEvaluationsException;

/**
 * Base class for a multivariate scalar function optimizer.
 *
 * @since 3.1
 */
public abstract class MultivariateOptimizer
    extends BaseMultivariateOptimizer<PointValuePair> {
    /** Objective function. */
    private MultivariateFunction function;
    /** Type of optimization. */
    private GoalType goal;

    /**
     * @param checker Convergence checker.
     */
    protected MultivariateOptimizer(ConvergenceChecker<PointValuePair> checker) {
        super(checker);
    }

    /**
     * {@inheritDoc}
     *
     * @param optData Optimization data. In addition to those documented in
     * {@link BaseMultivariateOptimizer#parseOptimizationData(OptimizationData[])
     * BaseMultivariateOptimizer}, this method will register the following data:
     * <ul>
     *  <li>{@link ObjectiveFunction}
     *  <li>{@link GoalType}
     * </ul>
     * @return {@inheritDoc}
     * @throws TooManyEvaluationsException if the maximal number of
     * evaluations is exceeded.
     */
    @Override
    public PointValuePair optimize(OptimizationData... optData)
        throws TooManyEvaluationsException {
        // Set up base class and perform computation.
        return super.optimize(optData);
    }

    /**
     * Scans the list of (required and optional) optimization data that
     * characterize the problem.
     *
     * @param optData Optimization data.
     * The following data will be looked for:
     * <ul>
     *  <li>{@link ObjectiveFunction}
     *  <li>{@link GoalType}
     * </ul>
     */
    @Override
    protected void parseOptimizationData(OptimizationData... optData) {
        // Allow base class to register its own data.
        super.parseOptimizationData(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 GoalType) {
                goal = (GoalType) data;
                continue;
            }
            if (data instanceof ObjectiveFunction) {
                function = ((ObjectiveFunction) data).getObjectiveFunction();
                continue;
            }
        }
    }

    /**
     * @return the optimization type.
     */
    public GoalType getGoalType() {
        return goal;
    }

    /**
     * Computes the objective function value.
     * This method <em>must be called by subclasses to enforce the
     * evaluation counter limit.
     *
     * @param params Point at which the objective function must be evaluated.
     * @return the objective function value at the specified point.
     * @throws TooManyEvaluationsException if the maximal number of
     * evaluations is exceeded.
     */
    public double computeObjectiveValue(double[] params) {
        super.incrementEvaluationCount();
        return function.value(params);
    }
}

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