/*
* 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 cern.colt.matrix.tfloat.algo.solver;
import cern.colt.matrix.tfloat.FloatMatrix1D;
import cern.colt.matrix.tfloat.FloatMatrix2D;
import cern.jet.math.tfloat.FloatFunctions;
/**
* Conjugate Gradients solver. CG solves the symmetric positive definite linear
* system Ax=b using the Conjugate Gradient method.
*
* @author Templates
*/
public class FloatCG extends AbstractFloatIterativeSolver {
/**
* Vectors for use in the iterative solution process
*/
private FloatMatrix1D p, z, q, r;
/**
* Constructor for CG. 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 FloatCG(FloatMatrix1D template) {
p = template.copy();
z = template.copy();
q = template.copy();
r = template.copy();
}
public FloatMatrix1D solve(FloatMatrix2D A, FloatMatrix1D b, FloatMatrix1D x)
throws IterativeSolverFloatNotConvergedException {
checkSizes(A, b, x);
float alpha = 0, beta = 0, rho = 0, rho_1 = 0;
A.zMult(x, r.assign(b), -1, 1, false);
for (iter.setFirst(); !iter.converged(r, x); iter.next()) {
M.apply(r, z);
rho = r.zDotProduct(z);
if (iter.isFirst())
p.assign(z);
else {
beta = rho / rho_1;
p.assign(z, FloatFunctions.plusMultFirst(beta));
}
A.zMult(p, q);
alpha = rho / p.zDotProduct(q);
x.assign(p, FloatFunctions.plusMultSecond(alpha));
r.assign(q, FloatFunctions.plusMultSecond(-alpha));
rho_1 = rho;
}
return x;
}
}
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