CSPARSE, a C library which implements a number of direct methods for sparse linear systems, by Timothy Davis.
CSPARSE uses the Compressed Column (CC) format for storing the sparse matrix.
The algorithms contained in CSPARSE have been chosen with five goals in mind:
CSPARSE: a Concise Sparse matrix package.
Copyright (c) 2006, Timothy A. Davis.
CSPARSE 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.
CSPARSE 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
CSPARSE is available in a C version.
CC, a data directory which contains examples of the Compressed Column (CC) sparse matrix file format;
CG_RC, a C library which implements the conjugate gradient method for solving a positive definite sparse linear system A*x=b, using reverse communication.
CR, a data directory which contains examples of the Compressed Row (CR) sparse matrix file format;
MGMRES, a C library which applies the restarted GMRES algorithm to solve a sparse linear system.
MM_IO, a C library which reads and writes sparse linear systems stored in the Matrix Market format.
ST, a data directory which contains examples and an explanation of the Sparse Triplet file format for sparse matrices.
superlu_test, C programs which illustrate how to use the SUPERLU library, which applies a fast direct solution method to solve sparse linear systems, by James Demmel, John Gilbert, and Xiaoye Li.
umfpack_test, C programs which illustrate how to solve a sparse linear system by calling the C library UMFPACK, by Timothy Davis.