In o.a.c.m.linear
- Removed tagging interface ProvidesResidual - added double IterativeLinearSolverEvent.getNormOfResidual() - added RealVector IterativeLinearSolverEvent.getResidual() (optional operation) - added boolean IterativeLinearSolverEvent.providesResidual() - added default implementation DefaultIterativeLinearSolverEvent see MATH-735. git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1238905 13f79535-47bb-0310-9956-ffa450edef68
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@ -79,78 +79,6 @@ import org.apache.commons.math.util.IterationManager;
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public class ConjugateGradient
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public class ConjugateGradient
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extends PreconditionedIterativeLinearSolver {
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extends PreconditionedIterativeLinearSolver {
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/**
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* The type of all events fired by this implementation of the Conjugate
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* Gradient method.
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*
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* @version $Id: ConjugateGradient.java 1175404 2011-09-25 14:48:18Z
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* celestin $
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*/
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public static class ConjugateGradientEvent
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extends IterativeLinearSolverEvent
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implements ProvidesResidual {
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/** */
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private static final long serialVersionUID = 20120128L;
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/** The right-hand side vector. */
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private final RealVector b;
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/** The current estimate of the residual. */
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private final RealVector r;
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/** The current estimate of the norm of the residual. */
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private final double rnorm;
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/** The current estimate of the solution. */
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private final RealVector x;
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/**
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* Creates a new instance of this class.
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*
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* @param source the iterative algorithm on which the event initially
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* occurred
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* @param iterations the number of iterations performed at the time
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* {@code this} event is created
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* @param x the current estimate of the solution
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* @param b the right-hand side vector
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* @param r the current estimate of the residual
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* @param rnorm the norm of the current estimate of the residual
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*/
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public ConjugateGradientEvent(final Object source, final int iterations,
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final RealVector x, final RealVector b, final RealVector r,
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final double rnorm) {
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super(source, iterations);
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this.x = RealVector.unmodifiableRealVector(x);
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this.b = RealVector.unmodifiableRealVector(b);
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this.r = RealVector.unmodifiableRealVector(r);
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this.rnorm = rnorm;
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}
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/** {@inheritDoc} */
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@Override
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public double getNormOfResidual() {
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return rnorm;
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}
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/** {@inheritDoc} */
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public RealVector getResidual() {
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return r;
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}
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/** {@inheritDoc} */
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@Override
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public RealVector getRightHandSideVector() {
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return b;
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}
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/** {@inheritDoc} */
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@Override
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public RealVector getSolution() {
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return x;
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}
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}
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/** Key for the <a href="#context">exception context</a>. */
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/** Key for the <a href="#context">exception context</a>. */
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public static final String OPERATOR = "operator";
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public static final String OPERATOR = "operator";
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@ -219,6 +147,7 @@ public class ConjugateGradient
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// Initialization of default stopping criterion
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// Initialization of default stopping criterion
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manager.resetIterationCount();
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manager.resetIterationCount();
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final double rmax = delta * b.getNorm();
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final double rmax = delta * b.getNorm();
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final RealVector bro = RealVector.unmodifiableRealVector(b);
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// Initialization phase counts as one iteration.
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// Initialization phase counts as one iteration.
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manager.incrementIterationCount();
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manager.incrementIterationCount();
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@ -226,10 +155,12 @@ public class ConjugateGradient
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// of x is optimized for the calculation of the matrix-vector product
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// of x is optimized for the calculation of the matrix-vector product
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// A.x.
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// A.x.
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final RealVector x = x0;
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final RealVector x = x0;
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final RealVector xro = RealVector.unmodifiableRealVector(x);
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final RealVector p = x.copy();
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final RealVector p = x.copy();
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RealVector q = a.operate(p);
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RealVector q = a.operate(p);
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final RealVector r = b.combine(1, -1, q);
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final RealVector r = b.combine(1, -1, q);
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final RealVector rro = RealVector.unmodifiableRealVector(r);
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double rnorm = r.getNorm();
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double rnorm = r.getNorm();
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RealVector z;
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RealVector z;
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if (minv == null) {
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if (minv == null) {
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@ -238,7 +169,8 @@ public class ConjugateGradient
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z = null;
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z = null;
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}
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}
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IterativeLinearSolverEvent evt;
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IterativeLinearSolverEvent evt;
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evt = new ConjugateGradientEvent(this, manager.getIterations(), x, b, r, rnorm);
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evt = new DefaultIterativeLinearSolverEvent(this,
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manager.getIterations(), xro, bro, rro, rnorm);
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manager.fireInitializationEvent(evt);
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manager.fireInitializationEvent(evt);
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if (rnorm <= rmax) {
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if (rnorm <= rmax) {
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manager.fireTerminationEvent(evt);
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manager.fireTerminationEvent(evt);
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@ -247,7 +179,8 @@ public class ConjugateGradient
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double rhoPrev = 0.;
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double rhoPrev = 0.;
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while (true) {
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while (true) {
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manager.incrementIterationCount();
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manager.incrementIterationCount();
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evt = new ConjugateGradientEvent(this, manager.getIterations(), x, b, r, rnorm);
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evt = new DefaultIterativeLinearSolverEvent(this,
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manager.getIterations(), xro, bro, rro, rnorm);
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manager.fireIterationStartedEvent(evt);
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manager.fireIterationStartedEvent(evt);
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if (minv != null) {
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if (minv != null) {
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z = minv.operate(r);
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z = minv.operate(r);
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@ -281,7 +214,8 @@ public class ConjugateGradient
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r.combineToSelf(1., -alpha, q);
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r.combineToSelf(1., -alpha, q);
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rhoPrev = rhoNext;
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rhoPrev = rhoNext;
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rnorm = r.getNorm();
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rnorm = r.getNorm();
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evt = new ConjugateGradientEvent(this, manager.getIterations(), x, b, r, rnorm);
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evt = new DefaultIterativeLinearSolverEvent(this,
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manager.getIterations(), xro, bro, rro, rnorm);
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manager.fireIterationPerformedEvent(evt);
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manager.fireIterationPerformedEvent(evt);
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if (rnorm <= rmax) {
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if (rnorm <= rmax) {
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manager.fireTerminationEvent(evt);
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manager.fireTerminationEvent(evt);
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@ -0,0 +1,143 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.commons.math.linear;
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import org.apache.commons.math.exception.MathUnsupportedOperationException;
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/**
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* A default concrete implementation of the abstract class
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* {@link IterativeLinearSolverEvent}.
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*
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* @version $Id$
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*/
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public class DefaultIterativeLinearSolverEvent extends IterativeLinearSolverEvent {
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/** */
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private static final long serialVersionUID = 20120129L;
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/** The right-hand side vector. */
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private final RealVector b;
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/** The current estimate of the residual. */
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private final RealVector r;
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/** The current estimate of the norm of the residual. */
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private final double rnorm;
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/** The current estimate of the solution. */
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private final RealVector x;
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/**
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* Creates a new instance of this class. This implementation does
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* <em>not</em> deep copy the specified vectors {@code x}, {@code b},
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* {@code r}. Therefore the user must make sure that these vectors are
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* either unmodifiable views or deep copies of the same vectors actually
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* used by the {@code source}. Failure to do so may compromise subsequent
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* iterations of the {@code source}. If the residual vector {@code r} is
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* {@code null}, then {@link #getResidual()} throws a
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* {@link MathUnsupportedOperationException}, and
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* {@link #providesResidual()} returns {@code false}.
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*
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* @param source the iterative solver which fired this event
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* @param iterations the number of iterations performed at the time
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* {@code this} event is created
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* @param x the current estimate of the solution
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* @param b the right-hand side vector
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* @param r the current estimate of the residual (can be {@code null})
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* @param rnorm the norm of the current estimate of the residual
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*/
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public DefaultIterativeLinearSolverEvent(final Object source, final int iterations,
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final RealVector x, final RealVector b, final RealVector r,
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final double rnorm) {
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super(source, iterations);
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this.x = x;
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this.b = b;
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this.r = r;
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this.rnorm = rnorm;
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}
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/**
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* Creates a new instance of this class. This implementation does
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* <em>not</em> deep copy the specified vectors {@code x}, {@code b}.
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* Therefore the user must make sure that these vectors are either
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* unmodifiable views or deep copies of the same vectors actually used by
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* the {@code source}. Failure to do so may compromise subsequent iterations
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* of the {@code source}. Callling {@link #getResidual()} on instances
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* returned by this constructor throws a
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* {@link MathUnsupportedOperationException}, while
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* {@link #providesResidual()} returns {@code false}.
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*
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* @param source the iterative solver which fired this event
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* @param iterations the number of iterations performed at the time
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* {@code this} event is created
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* @param x the current estimate of the solution
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* @param b the right-hand side vector
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* @param rnorm the norm of the current estimate of the residual
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*/
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public DefaultIterativeLinearSolverEvent(final Object source, final int iterations,
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final RealVector x, final RealVector b, final double rnorm) {
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super(source, iterations);
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this.x = x;
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this.b = b;
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this.r = null;
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this.rnorm = rnorm;
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}
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/** {@inheritDoc} */
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@Override
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public double getNormOfResidual() {
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return rnorm;
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}
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/**
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* {@inheritDoc}
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*
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* This implementation throws an {@link MathUnsupportedOperationException}
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* if no residual vector {@code r} was provided at construction time.
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*/
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public RealVector getResidual() {
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if (r != null) {
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return r;
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}
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throw new MathUnsupportedOperationException();
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}
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/** {@inheritDoc} */
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@Override
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public RealVector getRightHandSideVector() {
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return b;
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}
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/** {@inheritDoc} */
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@Override
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public RealVector getSolution() {
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return x;
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}
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/**
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* {@inheritDoc}
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*
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* This implementation returns {@code true} if a non-{@code null} value was
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* specified for the residual vector {@code r} at construction time.
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*
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* @return {@code true} if {@code r != null}
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*/
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@Override
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public boolean providesResidual() {
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return r != null;
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}
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}
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@ -29,7 +29,7 @@ public abstract class IterativeLinearSolverEvent
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extends IterationEvent {
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extends IterationEvent {
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/** */
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/** */
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private static final long serialVersionUID = 20120128L;
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private static final long serialVersionUID = 20120129L;
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/**
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/**
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* Creates a new instance of this class.
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* Creates a new instance of this class.
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*/
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*/
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public abstract double getNormOfResidual();
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public abstract double getNormOfResidual();
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/**
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* <p>
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* Returns the residual. This is an optional operation, as all iterative
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* linear solvers do not provide cheap estimate of the updated residual
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* vector, in which case
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* </p>
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* <ul>
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* <li>this method should throw a
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* {@link MathUnsupportedOperationException},</li>
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* <li>{@link #providesResidual()} returns {@code false}.</li>
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* </ul>
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* <p>
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* The default implementation throws a
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* {@link MathUnsupportedOperationException}. If this method is overriden,
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* then {@link #providesResidual()} should be overriden as well.
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* </p>
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*
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* @return the updated residual, r
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*/
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public RealVector getResidual() {
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throw new UnsupportedOperationException();
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}
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/**
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/**
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* Returns the current estimate of the solution to the linear system to be
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* Returns the current estimate of the solution to the linear system to be
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* solved. This method should return an unmodifiable view, or a deep copy of
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* solved. This method should return an unmodifiable view, or a deep copy of
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@ -79,4 +102,15 @@ public abstract class IterativeLinearSolverEvent
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* @return the solution, x
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* @return the solution, x
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*/
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*/
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public abstract RealVector getSolution();
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public abstract RealVector getSolution();
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/**
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* Returns {@code true} if {@link #getResidual()} is supported. The default
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* implementation returns {@code false}.
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*
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* @return {@code false} if {@link #getResidual()} throws a
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* {@link MathUnsupportedOperationException}
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*/
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public boolean providesResidual() {
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return false;
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}
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}
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}
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@ -1,36 +0,0 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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* See the License for the specific language governing permissions and
|
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* limitations under the License.
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*/
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package org.apache.commons.math.linear;
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/**
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* This interface provides access to the current value of the residual of an
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* {@link IterativeLinearSolver}. It might be implemented by
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* {@link IterativeLinearSolverEvent}, for example.
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*
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* @version $Id$
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* @since 3.0
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*/
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public interface ProvidesResidual {
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/**
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* Returns the current value of the residual. This should be an
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* unmodifiable view or a deep copy of the residual, in order not to
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* compromise the subsequent iterations.
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*
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* @return the current value of the residual
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*/
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RealVector getResidual();
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}
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|
|
@ -19,6 +19,7 @@ package org.apache.commons.math.linear;
|
||||||
import java.util.Arrays;
|
import java.util.Arrays;
|
||||||
|
|
||||||
import org.apache.commons.math.exception.DimensionMismatchException;
|
import org.apache.commons.math.exception.DimensionMismatchException;
|
||||||
|
import org.apache.commons.math.exception.MathUnsupportedOperationException;
|
||||||
import org.apache.commons.math.exception.MaxCountExceededException;
|
import org.apache.commons.math.exception.MaxCountExceededException;
|
||||||
import org.apache.commons.math.util.FastMath;
|
import org.apache.commons.math.util.FastMath;
|
||||||
import org.apache.commons.math.util.IterationEvent;
|
import org.apache.commons.math.util.IterationEvent;
|
||||||
|
@ -176,9 +177,11 @@ public class ConjugateGradientTest {
|
||||||
}
|
}
|
||||||
|
|
||||||
public void iterationPerformed(final IterationEvent e) {
|
public void iterationPerformed(final IterationEvent e) {
|
||||||
RealVector v = ((ProvidesResidual) e).getResidual();
|
final IterativeLinearSolverEvent evt;
|
||||||
|
evt = (IterativeLinearSolverEvent) e;
|
||||||
|
RealVector v = evt.getResidual();
|
||||||
r.setSubVector(0, v);
|
r.setSubVector(0, v);
|
||||||
v = ((IterativeLinearSolverEvent) e).getSolution();
|
v = evt.getSolution();
|
||||||
x.setSubVector(0, v);
|
x.setSubVector(0, v);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -345,9 +348,11 @@ public class ConjugateGradientTest {
|
||||||
}
|
}
|
||||||
|
|
||||||
public void iterationPerformed(final IterationEvent e) {
|
public void iterationPerformed(final IterationEvent e) {
|
||||||
RealVector v = ((ProvidesResidual)e).getResidual();
|
final IterativeLinearSolverEvent evt;
|
||||||
|
evt = (IterativeLinearSolverEvent) e;
|
||||||
|
RealVector v = evt.getResidual();
|
||||||
r.setSubVector(0, v);
|
r.setSubVector(0, v);
|
||||||
v = ((IterativeLinearSolverEvent) e).getSolution();
|
v = evt.getSolution();
|
||||||
x.setSubVector(0, v);
|
x.setSubVector(0, v);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -443,24 +448,51 @@ public class ConjugateGradientTest {
|
||||||
*/
|
*/
|
||||||
final int[] count = new int[] {0, 0, 0, 0};
|
final int[] count = new int[] {0, 0, 0, 0};
|
||||||
final IterationListener listener = new IterationListener() {
|
final IterationListener listener = new IterationListener() {
|
||||||
|
private void doTestVectorsAreUnmodifiable(final IterationEvent e) {
|
||||||
|
final IterativeLinearSolverEvent evt;
|
||||||
|
evt = (IterativeLinearSolverEvent) e;
|
||||||
|
try {
|
||||||
|
evt.getResidual().set(0.0);
|
||||||
|
Assert.fail("r is modifiable");
|
||||||
|
} catch (MathUnsupportedOperationException exc){
|
||||||
|
// Expected behavior
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
evt.getRightHandSideVector().set(0.0);
|
||||||
|
Assert.fail("b is modifiable");
|
||||||
|
} catch (MathUnsupportedOperationException exc){
|
||||||
|
// Expected behavior
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
evt.getSolution().set(0.0);
|
||||||
|
Assert.fail("x is modifiable");
|
||||||
|
} catch (MathUnsupportedOperationException exc){
|
||||||
|
// Expected behavior
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
public void initializationPerformed(final IterationEvent e) {
|
public void initializationPerformed(final IterationEvent e) {
|
||||||
++count[0];
|
++count[0];
|
||||||
|
doTestVectorsAreUnmodifiable(e);
|
||||||
}
|
}
|
||||||
|
|
||||||
public void iterationPerformed(final IterationEvent e) {
|
public void iterationPerformed(final IterationEvent e) {
|
||||||
++count[2];
|
++count[2];
|
||||||
Assert.assertEquals("iteration performed",
|
Assert.assertEquals("iteration performed",
|
||||||
count[2], e.getIterations() - 1);
|
count[2], e.getIterations() - 1);
|
||||||
|
doTestVectorsAreUnmodifiable(e);
|
||||||
}
|
}
|
||||||
|
|
||||||
public void iterationStarted(final IterationEvent e) {
|
public void iterationStarted(final IterationEvent e) {
|
||||||
++count[1];
|
++count[1];
|
||||||
Assert.assertEquals("iteration started",
|
Assert.assertEquals("iteration started",
|
||||||
count[1], e.getIterations() - 1);
|
count[1], e.getIterations() - 1);
|
||||||
|
doTestVectorsAreUnmodifiable(e);
|
||||||
}
|
}
|
||||||
|
|
||||||
public void terminationPerformed(final IterationEvent e) {
|
public void terminationPerformed(final IterationEvent e) {
|
||||||
++count[3];
|
++count[3];
|
||||||
|
doTestVectorsAreUnmodifiable(e);
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
solver = new ConjugateGradient(maxIterations, 1E-10, true);
|
solver = new ConjugateGradient(maxIterations, 1E-10, true);
|
||||||
|
|
Loading…
Reference in New Issue