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
- *
- * 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.math4.legacy.optim.linear;
- import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
- import org.apache.commons.math4.legacy.linear.ArrayRealVector;
- import org.apache.commons.math4.legacy.linear.RealVector;
- import org.apache.commons.math4.legacy.optim.OptimizationData;
- /**
- * An objective function for a linear optimization problem.
- * <p>
- * A linear objective function has one the form:
- * <div style="white-space: pre"><code>
- * c<sub>1</sub>x<sub>1</sub> + ... c<sub>n</sub>x<sub>n</sub> + d
- * </code></div>
- * 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.
- *
- * @since 2.0
- */
- public class LinearObjectiveFunction
- implements MultivariateFunction,
- OptimizationData {
- /** Coefficients of the linear equation (c<sub>i</sub>). */
- private final RealVector coefficients;
- /** Constant term of the linear equation. */
- private final double constantTerm;
- /**
- * @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);
- }
- /**
- * @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();
- }
- }