Package org.apache.commons.math3.optimization.linear

Source Code of org.apache.commons.math3.optimization.linear.LinearObjectiveFunction

/*
* 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.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;

import org.apache.commons.math3.linear.MatrixUtils;
import org.apache.commons.math3.linear.RealVector;
import org.apache.commons.math3.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>
* @deprecated As of 3.1 (to be removed in 4.0).
* @since 2.0
*/
@Deprecated
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(new ArrayRealVector(point, false)) + 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;
    }

    @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;
    }

    @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);
    }

}
TOP

Related Classes of org.apache.commons.math3.optimization.linear.LinearObjectiveFunction

TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.