All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.commons.math3.optimization.linear.LinearConstraint Maven / Gradle / Ivy

Go to download

The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

There is a newer version: 62
Show newest version
/*
 * 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;


/**
 * A linear constraint for a linear optimization problem.
 * 

* A linear constraint has one of the forms: *

    *
  • c1x1 + ... cnxn = v
  • *
  • c1x1 + ... cnxn <= v
  • *
  • c1x1 + ... cnxn >= v
  • *
  • l1x1 + ... lnxn + lcst = * r1x1 + ... rnxn + rcst
  • *
  • l1x1 + ... lnxn + lcst <= * r1x1 + ... rnxn + rcst
  • *
  • l1x1 + ... lnxn + lcst >= * r1x1 + ... rnxn + rcst
  • *
* The ci, li or ri are the coefficients of the constraints, the xi * are the coordinates of the current point and v is the value of the constraint. *

* @deprecated As of 3.1 (to be removed in 4.0). * @since 2.0 */ @Deprecated public class LinearConstraint implements Serializable { /** Serializable version identifier. */ private static final long serialVersionUID = -764632794033034092L; /** Coefficients of the constraint (left hand side). */ private final transient RealVector coefficients; /** Relationship between left and right hand sides (=, <=, >=). */ private final Relationship relationship; /** Value of the constraint (right hand side). */ private final double value; /** * Build a constraint involving a single linear equation. *

* A linear constraint with a single linear equation has one of the forms: *

    *
  • c1x1 + ... cnxn = v
  • *
  • c1x1 + ... cnxn <= v
  • *
  • c1x1 + ... cnxn >= v
  • *
*

* @param coefficients The coefficients of the constraint (left hand side) * @param relationship The type of (in)equality used in the constraint * @param value The value of the constraint (right hand side) */ public LinearConstraint(final double[] coefficients, final Relationship relationship, final double value) { this(new ArrayRealVector(coefficients), relationship, value); } /** * Build a constraint involving a single linear equation. *

* A linear constraint with a single linear equation has one of the forms: *

    *
  • c1x1 + ... cnxn = v
  • *
  • c1x1 + ... cnxn <= v
  • *
  • c1x1 + ... cnxn >= v
  • *
*

* @param coefficients The coefficients of the constraint (left hand side) * @param relationship The type of (in)equality used in the constraint * @param value The value of the constraint (right hand side) */ public LinearConstraint(final RealVector coefficients, final Relationship relationship, final double value) { this.coefficients = coefficients; this.relationship = relationship; this.value = value; } /** * Build a constraint involving two linear equations. *

* A linear constraint with two linear equation has one of the forms: *

    *
  • l1x1 + ... lnxn + lcst = * r1x1 + ... rnxn + rcst
  • *
  • l1x1 + ... lnxn + lcst <= * r1x1 + ... rnxn + rcst
  • *
  • l1x1 + ... lnxn + lcst >= * r1x1 + ... rnxn + rcst
  • *
*

* @param lhsCoefficients The coefficients of the linear expression on the left hand side of the constraint * @param lhsConstant The constant term of the linear expression on the left hand side of the constraint * @param relationship The type of (in)equality used in the constraint * @param rhsCoefficients The coefficients of the linear expression on the right hand side of the constraint * @param rhsConstant The constant term of the linear expression on the right hand side of the constraint */ public LinearConstraint(final double[] lhsCoefficients, final double lhsConstant, final Relationship relationship, final double[] rhsCoefficients, final double rhsConstant) { double[] sub = new double[lhsCoefficients.length]; for (int i = 0; i < sub.length; ++i) { sub[i] = lhsCoefficients[i] - rhsCoefficients[i]; } this.coefficients = new ArrayRealVector(sub, false); this.relationship = relationship; this.value = rhsConstant - lhsConstant; } /** * Build a constraint involving two linear equations. *

* A linear constraint with two linear equation has one of the forms: *

    *
  • l1x1 + ... lnxn + lcst = * r1x1 + ... rnxn + rcst
  • *
  • l1x1 + ... lnxn + lcst <= * r1x1 + ... rnxn + rcst
  • *
  • l1x1 + ... lnxn + lcst >= * r1x1 + ... rnxn + rcst
  • *
*

* @param lhsCoefficients The coefficients of the linear expression on the left hand side of the constraint * @param lhsConstant The constant term of the linear expression on the left hand side of the constraint * @param relationship The type of (in)equality used in the constraint * @param rhsCoefficients The coefficients of the linear expression on the right hand side of the constraint * @param rhsConstant The constant term of the linear expression on the right hand side of the constraint */ public LinearConstraint(final RealVector lhsCoefficients, final double lhsConstant, final Relationship relationship, final RealVector rhsCoefficients, final double rhsConstant) { this.coefficients = lhsCoefficients.subtract(rhsCoefficients); this.relationship = relationship; this.value = rhsConstant - lhsConstant; } /** * Get the coefficients of the constraint (left hand side). * @return coefficients of the constraint (left hand side) */ public RealVector getCoefficients() { return coefficients; } /** * Get the relationship between left and right hand sides. * @return relationship between left and right hand sides */ public Relationship getRelationship() { return relationship; } /** * Get the value of the constraint (right hand side). * @return value of the constraint (right hand side) */ public double getValue() { return value; } /** {@inheritDoc} */ @Override public boolean equals(Object other) { if (this == other) { return true; } if (other instanceof LinearConstraint) { LinearConstraint rhs = (LinearConstraint) other; return (relationship == rhs.relationship) && (value == rhs.value) && coefficients.equals(rhs.coefficients); } return false; } /** {@inheritDoc} */ @Override public int hashCode() { return relationship.hashCode() ^ Double.valueOf(value).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); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy