From octave-sources-request at bevo dot che dot wisc dot edu Tue Oct 9 21:59:34 2001 Subject: octave sparse functions - release version From: To: Date: Tue, 9 Oct 2001 22:59:55 -0400 (EDT) This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. Send mail to mime at docserver dot cac dot washington dot edu for more info. --8323328-199616274-1002682795=:3192 Content-Type: TEXT/PLAIN; charset=US-ASCII This is a sparse matrix toolkit for octave based on the SuperLU package. ID: $Id: README,v 1.5 2001/09/23 17:46:12 aadler Exp $ AUTHOR: Andy Adler INSTRUCTIONS 0. Check that you have the following files: a Makefile b make_sparse.cc c make_sparse.h d sp_test.m e fem_test.m f superlu2.0patch.diff 0a. Make sure that your version of octave is compiled with: ./configure --enable-dl --enable-shared 0b. This is tested to work with octave-2.1.34 It works with >2.1.30 if you apply the mkoctfile patch at www.octave.org/mailing-lists/octave-maintainers/2000/175 0c. If you already have a SuperLU subdirectory with SuperLU/SRC and SuperLU/CBLAS then ignore steps 1-3 (You will have SuperLU if you downloaded this from sourceforge.net) 1. Download SuperLU from one of the following sites http://www.netlib.org/scalapack/prototype ftp://ftp.cs.berkeley/pub/src/lapack/SuperLU http://www.nersc.gov/~xiaoye/SuperLU/ 2. Unpack SuperLU into the directory you'll be building the octave sparse functions from 3. Apply the patch patch -p0 < superlu2.0patch.diff 4. Build the octave sparse functions make in the octave sparse functions directory NOTE: do not run the SuperLU makefiles - it doesn't build the right objects into the library 5. Installation: Copy 1) make_sparse.oct and 2) the links to make_sparse.oct into any directory in your LOADPATH full.oct -> make_sparse.oct nnz.oct -> make_sparse.oct sparse.oct -> make_sparse.oct spfind.oct -> make_sparse.oct spinv.oct -> make_sparse.oct splu.oct -> make_sparse.oct This makefile assumes that the SuperLU package has been unpacked in this directory. It compiles files directly from their locations in the SuperLU source. You do not need to use SuperLU makefiles. SuperLU is available from http://www.netlib.org/scalapack/prototype ftp://ftp.cs.berkeley/pub/src/lapack/SuperLU AUTHOR: Andy Adler COPYRIGHT: GPL + opensource linking Copyright (C) 1998-00 Andy Adler This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program 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 General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. In addition to the terms of the GPL, you are permitted to link this program with any Open Source program, as defined by the Open Source Initiative (www.opensource.org) SUPERLU COPYRIGHT: The following copyright is taken from any of the files in the SuperLU/SRC directory /* * -- SuperLU routine (version 2.0) -- * Univ. of California Berkeley, Xerox Palo Alto Research Center, * and Lawrence Berkeley National Lab. * November 15, 1997 * */ /* Copyright (c) 1994 by Xerox Corporation. All rights reserved. THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY EXPRESSED OR IMPLIED. ANY USE IS AT YOUR OWN RISK. Permission is hereby granted to use or copy this program for any purpose, provided the above notices are retained on all copies. Permission to modify the code and to distribute modified code is granted, provided the above notices are retained, and a notice that the code was modified is included with the above copyright notice. */ USAGE: sparse functions are provided for sparse -> create sparse matrices full -> create full matrices from sparse splu -> spare lu decomposition spfind -> find elements of sparse matrices nnz -> number of non zero elements Unitary operators S' S.' -S ~S Binary operators == + - * .* \ Selection A( fortran_vec ) , A( idx1, idx2 ) MISSING FEATURES (TODO FILE) (This is more or less in the order of importance, and probability of accomplishment) 1. Sparse solution: there is no code for sparse(index1,index2) = submatrix [ sparse , sparse ] 2. More efficient code for: sparse \ sparse spinv splu 3. More "sophisticated" matrix operations on sparse eigenvectors chol SVD etc. KNOWN AND PREDICTED BUGS AND FEATURES: 1. The attempt here is to provide compatability to the main MATLAB sparse matrix entry points. The SuperLU provides slightly different fuctionality to MATLAB, and, therefore this toolkit provides different features. For example, the column permutation algorithm (and approach) is different. Additionally, I don't intend to provide replacements for the MATLAB sparse functions I consider frills. eg sprand.m, treeplot.m 2. SuperLU uses the int data type as indices. Since ints are normally 4 bytes (at least on i386 machines), this is not a great problem. There may be still a few places where an int is used to refer to i+j*m, which means that sparse operations on matrices where m*n > maxint/2 may be buggy. I've tried to fix this, but there may be some left. Email me if you find any. 3. Sparse solve is a little faster than the MATLAB equivalent, except it seems not to choose the factoring as well. Using a perm_c spec of 2 for symetric matrices will get speed improvements of ~ 1.5. (For the FEM problems I use it for) TODO: add complex test cases - done add tests for failures (matrix size mismatch) - done go though sparse_ops.h and support all zero matrices - done test code for all zero and empty matrices - all zero done complex sparse select operations more efficient code for sparse \ sparse - fix casting spagetti support sparse \ sparse for complex - done move code to c++ operators - so we can use sparse from liboctave >fix error for sparse(1)\1 > DEBUG:sparse - matrix_to_sparse > DEBUG:sparse( SuperMatrix A) > DEBUG:sparse - numeric_conversion_function > DEBUG:sparse - default_numeric_conversion_function > DEBUG:sparse - matrix_value > DEBUG:sparse - sparse_to_full > error: operator \: nonconformant arguments (op1 is 1x1, op2 is 1x1) > > #include > defun_dld (jnk, args, , "jnk" ) { > matrix x(1,1); x(0,0)= 1; octave_value o1(x); > octave_value o2(2.0); > octave_value_list retval; retval(0)= o1/(o2); > return retval; > } --> fixed in octave-2.1.34 complex sparse constructor will create real sparse if matrix is actually real make debug constructor which sanity checks matrices - option which checks if no nonzero elems isist complex sparse functions for splu - spinv - done sp_inverse_uppertriang segfaults for spinv(sparse(ones(3))). 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