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CSparseJ is a Java port of CSparse: a Concise Sparse matrix package.
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/* ***** BEGIN LICENSE BLOCK *****
*
* CSparse: a Concise Sparse matrix package.
* Copyright (c) 2006, Timothy A. Davis.
* http://www.cise.ufl.edu/research/sparse/CSparse
*
* -------------------------------------------------------------------------
*
* CSparseJ 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.
*
* CSparseJ 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 Module; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
*
* ***** END LICENSE BLOCK ***** */
package edu.emory.mathcs.csparsej.tdouble;
import edu.emory.mathcs.csparsej.tdouble.Dcs_common.Dcs;
/**
* Sparse matrix times dense vector.
*
* @author Piotr Wendykier ([email protected])
*
*/
public class Dcs_gaxpy {
/**
* Sparse matrix times dense column vector, y = A*x+y.
*
* @param A
* column-compressed matrix
* @param x
* size n, vector x
* @param y
* size m, vector y
* @return true if successful, false on error
*/
public static boolean cs_gaxpy(Dcs A, double[] x, double[] y) {
int p, j, n, Ap[], Ai[];
double Ax[];
if (!Dcs_util.CS_CSC(A) || x == null || y == null)
return (false); /* check inputs */
n = A.n;
Ap = A.p;
Ai = A.i;
Ax = A.x;
for (j = 0; j < n; j++) {
for (p = Ap[j]; p < Ap[j + 1]; p++) {
y[Ai[p]] += Ax[p] * x[j];
}
}
return (true);
}
}
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