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Commons Math example source code file (LinearOptimizer.java)

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

Java - Commons Math tags/keywords

collection, goaltype, goaltype, linearoptimizer, linearoptimizer, optimizationexception, optimizationexception, realpointvaluepair, realpointvaluepair, util

The Commons Math LinearOptimizer.java 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.math.optimization.linear;

import java.util.Collection;

import org.apache.commons.math.optimization.GoalType;
import org.apache.commons.math.optimization.OptimizationException;
import org.apache.commons.math.optimization.RealPointValuePair;

/**
 * This interface represents an optimization algorithm for linear problems.
 * <p>Optimization algorithms find the input point set that either {@link GoalType
 * maximize or minimize} an objective function. In the linear case the form of
 * the function is restricted to
 * <pre>
 * c<sub>1x1 + ... cnxn = v
 * </pre>
 * and there may be linear constraints too, of one of the forms:
 * <ul>
 *   <li>c1x1 + ... cnxn = v
 *   <li>c1x1 + ... cnxn <= v
 *   <li>c1x1 + ... cnxn >= v
 *   <li>l1x1 + ... lnxn + lcst =
 *       r<sub>1x1 + ... rnxn + rcst
 *   <li>l1x1 + ... lnxn + lcst <=
 *       r<sub>1x1 + ... rnxn + rcst
 *   <li>l1x1 + ... lnxn + lcst >=
 *       r<sub>1x1 + ... rnxn + rcst
 * </ul>
 * where the c<sub>i, li or ri are the coefficients of
 * the constraints, the x<sub>i are the coordinates of the current point and
 * v is the value of the constraint.
 * </p>
 * @version $Revision: 811685 $ $Date: 2009-09-05 13:36:48 -0400 (Sat, 05 Sep 2009) $
 * @since 2.0
 */
public interface LinearOptimizer {

    /** Set the maximal number of iterations of the algorithm.
     * @param maxIterations maximal number of function calls
     */
    void setMaxIterations(int maxIterations);

    /** Get the maximal number of iterations of the algorithm.
     * @return maximal number of iterations
     */
    int getMaxIterations();

    /** Get the number of iterations realized by the algorithm.
     * <p>
     * The number of evaluations corresponds to the last call to the
     * {@link #optimize(LinearObjectiveFunction, Collection, GoalType, boolean) optimize}
     * method. It is 0 if the method has not been called yet.
     * </p>
     * @return number of iterations
     */
    int getIterations();

    /** Optimizes an objective function.
     * @param f linear objective function
     * @param constraints linear constraints
     * @param goalType type of optimization goal: either {@link GoalType#MAXIMIZE}
     * or {@link GoalType#MINIMIZE}
     * @param restrictToNonNegative whether to restrict the variables to non-negative values
     * @return point/value pair giving the optimal value for objective function
     * @exception OptimizationException if no solution fulfilling the constraints
     * can be found in the allowed number of iterations
     */
   RealPointValuePair optimize(LinearObjectiveFunction f, Collection<LinearConstraint> constraints,
                               GoalType goalType, boolean restrictToNonNegative)
        throws OptimizationException;

}

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