📄 iterativesolvertestabstract.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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