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📄 iterativesolvertestabstract.java

📁 另一个功能更强大的矩阵运算软件开源代码
💻 JAVA
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/* * Copyright (C) 2003-2006 Bjørn-Ove Heimsund *  * This file is part of MTJ. *  * This library is free software; you can redistribute it and/or modify it * under the terms of the GNU Lesser General Public License as published by the * Free Software Foundation; either version 2.1 of the License, or (at your * option) any later version. *  * This library is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License * for more details. *  * You should have received a copy of the GNU Lesser General Public License * along with this library; if not, write to the Free Software Foundation, * Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */package no.uib.cipr.matrix.sparse;import no.uib.cipr.matrix.DenseLU;import no.uib.cipr.matrix.Matrices;import no.uib.cipr.matrix.Matrix;import no.uib.cipr.matrix.Vector;import no.uib.cipr.matrix.sparse.FlexCompRowMatrix;import no.uib.cipr.matrix.sparse.IterativeSolver;import no.uib.cipr.matrix.sparse.IterativeSolverNotConvergedException;import no.uib.cipr.matrix.sparse.Preconditioner;import no.uib.cipr.matrix.Utilities;import junit.framework.TestCase;/** * Test of the iterative solvers and preconditioners */public abstract class IterativeSolverTestAbstract extends TestCase {    /**     * Number of times to repeat tests     */    private int repeat = 5;    /**     * Sizes of the system matrix     */    protected int max = 50, bmax = 10;    /**     * Numerical tolerance     */    protected double tol = 1e-4;    /**     * Diagonal shift for singularity handling     */    protected double shift = 100;    /**     * Square system matrix     */    protected Matrix A;    /**     * Right hand side, right hand for transpose system, and the solution vector     * in both cases     */    protected Vector b, bt, x;    /**     * Stores the data of x     */    protected double[] xd;    /**     * Iterative solver to use     */    protected IterativeSolver solver;    /**     * Preconditioner to use     */    protected Preconditioner M;    /**     * Constructor for IterativeSolverTestAbstract     */    public IterativeSolverTestAbstract(String arg0) {        super(arg0);    }    @Override    protected void setUp() throws Exception {        createMatrix();        int n = A.numRows();        x = Matrices.random(n);        b = Matrices.random(n);        bt = Matrices.random(n);        // Create solver and preconditioner        createSolver();        if (M == null)            M = solver.getPreconditioner();        M.setMatrix(A);        // Compute the correct right hand sides        b = A.mult(x, b);        bt = A.transMult(x, bt);        // Store x for later. It is overwritten        xd = Matrices.getArray(x);        // Randomize the inital solution vector        Matrices.random(x);    }    protected abstract void createSolver() throws Exception;    protected void createMatrix() throws Exception {        // Create an arbitrary matrix        int n = Utilities.getInt(1, max);        int b = Utilities.getInt(Math.min(bmax, n));        A = new FlexCompRowMatrix(n, n);        Utilities.rowPopulate(A, b);        // Make it non-singular        addDiagonal(A, shift);        DenseLU lu = DenseLU.factorize(A);        while (lu.isSingular()) {            addDiagonal(A, shift);            lu = DenseLU.factorize(A);        }    }    protected void addDiagonal(Matrix A, double shift) {        int n = A.numRows(), m = A.numColumns();        for (int i = 0; i < Math.min(n, m); ++i)            A.add(i, i, shift);    }    @Override    protected void tearDown() throws Exception {        A = null;        b = bt = x = null;        xd = null;        solver = null;    }    public void testSolve() {        try {            solver.solve(A, b, x);            assertSolved();        } catch (IterativeSolverNotConvergedException e) {            fail("Solver did not converge: " + e.getReason() + ". Residual="                    + e.getResidual());        }    }    public void testRepeatSolve() {        try {            for (int i = 0; i < repeat; ++i) {                solver.solve(A, b, x);                assertSolved();                x = Matrices.random(A.numRows());            }        } catch (IterativeSolverNotConvergedException e) {            fail("Solver did not converge: " + e.getReason() + ". Residual="                    + e.getResidual());        }    }    protected void assertSolved() {        for (int i = 0; i < xd.length; ++i)            assertEquals(xd[i], x.get(i), tol);    }}

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