LinearObjectiveFunction.java
- /*
- * 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
- *
- * https://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.
- */
- /*
- * This is not the original file distributed by the Apache Software Foundation
- * It has been modified by the Hipparchus project
- */
- package org.hipparchus.optim.linear;
- import java.io.IOException;
- import java.io.ObjectInputStream;
- import java.io.ObjectOutputStream;
- import java.io.Serializable;
- import org.hipparchus.analysis.MultivariateFunction;
- import org.hipparchus.linear.ArrayRealVector;
- import org.hipparchus.linear.RealVector;
- import org.hipparchus.optim.OptimizationData;
- /**
- * An objective function for a linear optimization problem.
- * <p>
- * A linear objective function has one the form:
- * \[
- * c_1 x_1 + \ldots c_n x_n + d
- * \]
- * 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>
- *
- */
- public class LinearObjectiveFunction
- implements MultivariateFunction,
- OptimizationData,
- Serializable {
- /** Serializable version identifier. */
- private static final long serialVersionUID = -4531815507568396090L;
- /** Coefficients of the linear equation (c<sub>i</sub>). */
- private final transient RealVector coefficients;
- /** Constant term of the linear equation. */
- private final double constantTerm;
- /** Simple constructor.
- * @param coefficients Coefficients for the linear equation being optimized.
- * @param constantTerm Constant term of the linear equation.
- */
- public LinearObjectiveFunction(double[] coefficients, double constantTerm) {
- this(new ArrayRealVector(coefficients), constantTerm);
- }
- /** Simple constructor.
- * @param coefficients Coefficients for the linear equation being optimized.
- * @param constantTerm Constant term of the linear equation.
- */
- public LinearObjectiveFunction(RealVector coefficients, double constantTerm) {
- this.coefficients = coefficients;
- this.constantTerm = constantTerm;
- }
- /**
- * Gets the coefficients of the linear equation being optimized.
- *
- * @return coefficients of the linear equation being optimized.
- */
- public RealVector getCoefficients() {
- return coefficients;
- }
- /**
- * Gets the constant of the linear equation being optimized.
- *
- * @return constant of the linear equation being optimized.
- */
- public double getConstantTerm() {
- return constantTerm;
- }
- /**
- * Computes the value of the linear equation at the current point.
- *
- * @param point Point at which linear equation must be evaluated.
- * @return the value of the linear equation at the current point.
- */
- @Override
- public double value(final double[] point) {
- return value(new ArrayRealVector(point, false));
- }
- /**
- * Computes the value of the linear equation at the current point.
- *
- * @param point Point at which linear equation must be evaluated.
- * @return the value of the linear equation at the current point.
- */
- public double value(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();
- final int n = coefficients.getDimension();
- oos.writeInt(n);
- for (int i = 0; i < n; ++i) {
- oos.writeDouble(coefficients.getEntry(i));
- }
- }
- /**
- * 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();
- // read the vector data
- final int n = ois.readInt();
- final double[] data = new double[n];
- for (int i = 0; i < n; ++i) {
- data[i] = ois.readDouble();
- }
- try {
- // create the instance
- ArrayRealVector vector = new ArrayRealVector(data, false);
- final java.lang.reflect.Field f = getClass().getDeclaredField("coefficients");
- f.setAccessible(true); // NOPMD
- f.set(this, vector);
- } catch (NoSuchFieldException | IllegalArgumentException | IllegalAccessException e) {
- IOException ioe = new IOException();
- ioe.initCause(e);
- throw ioe;
- }
- }
- }