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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.math.optimization.linear; import java.io.IOException; import java.io.ObjectInputStream; import java.io.ObjectOutputStream; import java.io.Serializable; import org.apache.commons.math.linear.MatrixUtils; import org.apache.commons.math.linear.RealVector; import org.apache.commons.math.linear.ArrayRealVector; /** * An objective function for a linear optimization problem. * <p> * A linear objective function has one the form: * <pre> * c<sub>1</sub>x<sub>1</sub> + ... c<sub>n</sub>x<sub>n</sub> + d * </pre> * The c<sub>i</sub> and d are the coefficients of the equation, * the x<sub>i</sub> are the coordinates of the current point. * </p> * @version $Revision: 922713 $ $Date: 2010-03-14 02:26:13 +0100 (dim. 14 mars 2010) $ * @since 2.0 */ public class LinearObjectiveFunction implements Serializable { /** Serializable version identifier. */ private static final long serialVersionUID = -4531815507568396090L; /** Coefficients of the constraint (c<sub>i</sub>). */ private final transient RealVector coefficients; /** Constant term of the linear equation. */ private final double constantTerm; /** * @param coefficients The coefficients for the linear equation being optimized * @param constantTerm The constant term of the linear equation */ public LinearObjectiveFunction(double[] coefficients, double constantTerm) { this(new ArrayRealVector(coefficients), constantTerm); } /** * @param coefficients The coefficients for the linear equation being optimized * @param constantTerm The constant term of the linear equation */ public LinearObjectiveFunction(RealVector coefficients, double constantTerm) { this.coefficients = coefficients; this.constantTerm = constantTerm; } /** * Get the coefficients of the linear equation being optimized. * @return coefficients of the linear equation being optimized */ public RealVector getCoefficients() { return coefficients; } /** * Get the constant of the linear equation being optimized. * @return constant of the linear equation being optimized */ public double getConstantTerm() { return constantTerm; } /** * Compute the value of the linear equation at the current point * @param point point at which linear equation must be evaluated * @return value of the linear equation at the current point */ public double getValue(final double[] point) { return coefficients.dotProduct(point) + constantTerm; } /** * Compute the value of the linear equation at the current point * @param point point at which linear equation must be evaluated * @return value of the linear equation at the current point */ public double getValue(final RealVector point) { return coefficients.dotProduct(point) + constantTerm; } /** {@inheritDoc} */ @Override public boolean equals(Object other) { if (this == other) { return true; } if (other instanceof LinearObjectiveFunction) { LinearObjectiveFunction rhs = (LinearObjectiveFunction) other; return (constantTerm == rhs.constantTerm) && coefficients.equals(rhs.coefficients); } return false; } /** {@inheritDoc} */ @Override public int hashCode() { return Double.valueOf(constantTerm).hashCode() ^ coefficients.hashCode(); } /** Serialize the instance. * @param oos stream where object should be written * @throws IOException if object cannot be written to stream */ private void writeObject(ObjectOutputStream oos) throws IOException { oos.defaultWriteObject(); MatrixUtils.serializeRealVector(coefficients, oos); } /** Deserialize the instance. * @param ois stream from which the object should be read * @throws ClassNotFoundException if a class in the stream cannot be found * @throws IOException if object cannot be read from the stream */ private void readObject(ObjectInputStream ois) throws ClassNotFoundException, IOException { ois.defaultReadObject(); MatrixUtils.deserializeRealVector(this, "coefficients", ois); } }