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Java example source code file (AbstractLinearOptimizer.java)

This example Java source code file (AbstractLinearOptimizer.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.

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Java - Java tags/keywords

abstractlinearoptimizer, collection, default_max_iterations, deprecated, goaltype, linearobjectivefunction, mathillegalstateexception, maxcountexceededexception, pointvaluepair, util

The AbstractLinearOptimizer.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.optimization.linear;

import java.util.Collection;
import java.util.Collections;

import org.apache.commons.math3.exception.MathIllegalStateException;
import org.apache.commons.math3.exception.MaxCountExceededException;
import org.apache.commons.math3.optimization.GoalType;
import org.apache.commons.math3.optimization.PointValuePair;

/**
 * Base class for implementing linear optimizers.
 * <p>
 * This base class handles the boilerplate methods associated to thresholds
 * settings and iterations counters.
 *
 * @deprecated As of 3.1 (to be removed in 4.0).
 * @since 2.0
 */
@Deprecated
public abstract class AbstractLinearOptimizer implements LinearOptimizer {

    /** Default maximal number of iterations allowed. */
    public static final int DEFAULT_MAX_ITERATIONS = 100;

    /**
     * Linear objective function.
     * @since 2.1
     */
    private LinearObjectiveFunction function;

    /**
     * Linear constraints.
     * @since 2.1
     */
    private Collection<LinearConstraint> linearConstraints;

    /**
     * Type of optimization goal: either {@link GoalType#MAXIMIZE} or {@link GoalType#MINIMIZE}.
     * @since 2.1
     */
    private GoalType goal;

    /**
     * Whether to restrict the variables to non-negative values.
     * @since 2.1
     */
    private boolean nonNegative;

    /** Maximal number of iterations allowed. */
    private int maxIterations;

    /** Number of iterations already performed. */
    private int iterations;

    /**
     * Simple constructor with default settings.
     * <p>The maximal number of evaluation is set to its default value.

*/ protected AbstractLinearOptimizer() { setMaxIterations(DEFAULT_MAX_ITERATIONS); } /** * @return {@code true} if the variables are restricted to non-negative values. */ protected boolean restrictToNonNegative() { return nonNegative; } /** * @return the optimization type. */ protected GoalType getGoalType() { return goal; } /** * @return the optimization type. */ protected LinearObjectiveFunction getFunction() { return function; } /** * @return the optimization type. */ protected Collection<LinearConstraint> getConstraints() { return Collections.unmodifiableCollection(linearConstraints); } /** {@inheritDoc} */ public void setMaxIterations(int maxIterations) { this.maxIterations = maxIterations; } /** {@inheritDoc} */ public int getMaxIterations() { return maxIterations; } /** {@inheritDoc} */ public int getIterations() { return iterations; } /** * Increment the iterations counter by 1. * @exception MaxCountExceededException if the maximal number of iterations is exceeded */ protected void incrementIterationsCounter() throws MaxCountExceededException { if (++iterations > maxIterations) { throw new MaxCountExceededException(maxIterations); } } /** {@inheritDoc} */ public PointValuePair optimize(final LinearObjectiveFunction f, final Collection<LinearConstraint> constraints, final GoalType goalType, final boolean restrictToNonNegative) throws MathIllegalStateException { // store linear problem characteristics this.function = f; this.linearConstraints = constraints; this.goal = goalType; this.nonNegative = restrictToNonNegative; iterations = 0; // solve the problem return doOptimize(); } /** * Perform the bulk of optimization algorithm. * @return the point/value pair giving the optimal value for objective function * @exception MathIllegalStateException if no solution fulfilling the constraints * can be found in the allowed number of iterations */ protected abstract PointValuePair doOptimize() throws MathIllegalStateException; }

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