📄 bicg.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 *//* * Derived from public domain software at http://www.netlib.org/templates */package no.uib.cipr.matrix.sparse;import no.uib.cipr.matrix.Matrix;import no.uib.cipr.matrix.NotConvergedException;import no.uib.cipr.matrix.Vector;/** * BiCG solver. BiCG solves the unsymmetric linear system <code>Ax = b</code> * using the Preconditioned BiConjugate Gradient method. * * @author Templates */public class BiCG extends AbstractIterativeSolver { /** * Vectors for use in the iterative solution process */ private Vector z, p, q, r, ztilde, ptilde, qtilde, rtilde; /** * Constructor for BiCG. Uses the given vector as template for creating * scratch vectors. Typically, the solution or the right hand side vector * can be passed, and the template is not modified * * @param template * Vector to use as template for the work vectors needed in the * solution process */ public BiCG(Vector template) { z = template.copy(); p = template.copy(); q = template.copy(); r = template.copy(); ztilde = template.copy(); ptilde = template.copy(); qtilde = template.copy(); rtilde = template.copy(); } public Vector solve(Matrix A, Vector b, Vector x) throws IterativeSolverNotConvergedException { checkSizes(A, b, x); double rho_1 = 1, rho_2 = 1, alpha = 1, beta = 1; A.multAdd(-1, x, r.set(b)); rtilde.set(r); for (iter.setFirst(); !iter.converged(r, x); iter.next()) { M.apply(r, z); M.transApply(rtilde, ztilde); rho_1 = z.dot(rtilde); if (rho_1 == 0.) throw new IterativeSolverNotConvergedException( NotConvergedException.Reason.Breakdown, "rho", iter); if (iter.isFirst()) { p.set(z); ptilde.set(ztilde); } else { beta = rho_1 / rho_2; p.scale(beta).add(z); ptilde.scale(beta).add(ztilde); } A.mult(p, q); A.transMult(ptilde, qtilde); alpha = rho_1 / ptilde.dot(q); x.add(alpha, p); r.add(-alpha, q); rtilde.add(-alpha, qtilde); rho_2 = rho_1; } return x; }}
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