File: Contents.m

package info (click to toggle)
suitesparse 1%3A7.10.1%2Bdfsg-1
  • links: PTS, VCS
  • area: main
  • in suites: trixie
  • size: 254,920 kB
  • sloc: ansic: 1,134,743; cpp: 46,133; makefile: 4,875; fortran: 2,087; java: 1,826; sh: 996; ruby: 725; python: 495; asm: 371; sed: 166; awk: 44
file content (19 lines) | stat: -rw-r--r-- 821 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
% SSMULT:  sparse matrix multiplication (sparse times sparse)
%
% SSMULT computes C=A*B where A and B are sparse.  It is typically faster
% than C=A*B in MATLAB 7.4 (or earlier), and always uses less memory.
%
%   ssmult          - multiplies two sparse matrices.
%   ssmultsym       - computes nnz(C), memory, and flops to compute C=A*B; A and B sparse.
%
% Compiling and testing:
%   ssmult_install  - compiles, installs, and optionally tests ssmult.
%   ssmult_test     - lengthy test of SSMULT and SSMULTSYM
%   sstest          - exhaustive performance test for SSMULT.
%   sstest2         - exhaustive performance test for SSMULT.  Requires ssget.
%
% Example:
%   C = ssmult(A,B) ;    % computes C = A*B
%
% SSMULT, Copyright (c) 2007-2011, Timothy A Davis. All Rights Reserved.
% SPDX-License-Identifier: GPL-2.0+