Mercurial > hg > octave-nkf
view libinterp/dldfcn/amd.cc @ 20750:3339c9bdfe6a
Activate FSAL property in dorpri timestepper
* scripts/ode/private/runge_kutta_45_dorpri.m: don't compute
first stage if values from previous iteration are passed.
* scripts/ode/private/integrate_adaptive.m: do not update
cmputed stages if timestep is rejected.
author | Carlo de Falco <carlo.defalco@polimi.it> |
---|---|
date | Sat, 03 Oct 2015 07:32:50 +0200 |
parents | 075a5e2e1ba5 |
children | f90c8372b7ba |
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/* Copyright (C) 2008-2015 David Bateman This file is part of Octave. Octave 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 3 of the License, or (at your option) any later version. Octave 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 Octave; see the file COPYING. If not, see <http://www.gnu.org/licenses/>. */ // This is the octave interface to amd, which bore the copyright given // in the help of the functions. #ifdef HAVE_CONFIG_H #include <config.h> #endif #include <cstdlib> #include <string> #include <vector> #include "ov.h" #include "defun-dld.h" #include "pager.h" #include "ov-re-mat.h" #include "ov-re-sparse.h" #include "ov-cx-sparse.h" #include "oct-map.h" #include "oct-sparse.h" #include "oct-locbuf.h" #ifdef USE_64_BIT_IDX_T #define AMD_NAME(name) amd_l ## name #else #define AMD_NAME(name) amd ## name #endif DEFUN_DLD (amd, args, nargout, "-*- texinfo -*-\n\ @deftypefn {Loadable Function} {@var{p} =} amd (@var{S})\n\ @deftypefnx {Loadable Function} {@var{p} =} amd (@var{S}, @var{opts})\n\ \n\ Return the approximate minimum degree permutation of a matrix.\n\ \n\ This is a permutation such that the Cholesky@tie{}factorization of\n\ @code{@var{S} (@var{p}, @var{p})} tends to be sparser than the\n\ Cholesky@tie{}factorization of @var{S} itself. @code{amd} is typically\n\ faster than @code{symamd} but serves a similar purpose.\n\ \n\ The optional parameter @var{opts} is a structure that controls the behavior\n\ of @code{amd}. The fields of the structure are\n\ \n\ @table @asis\n\ @item @var{opts}.dense\n\ Determines what @code{amd} considers to be a dense row or column of the\n\ input matrix. Rows or columns with more than @code{max (16, (dense *\n\ sqrt (@var{n})))} entries, where @var{n} is the order of the matrix @var{S},\n\ are ignored by @code{amd} during the calculation of the permutation.\n\ The value of dense must be a positive scalar and the default value is 10.0\n\ \n\ @item @var{opts}.aggressive\n\ If this value is a nonzero scalar, then @code{amd} performs aggressive\n\ absorption. The default is not to perform aggressive absorption.\n\ @end table\n\ \n\ The author of the code itself is Timothy A. Davis\n\ @email{davis@@cise.ufl.edu}, University of Florida\n\ (see @url{http://www.cise.ufl.edu/research/sparse/amd}).\n\ @seealso{symamd, colamd}\n\ @end deftypefn") { octave_value_list retval; #ifdef HAVE_AMD int nargin = args.length (); if (nargin < 1 || nargin > 2) print_usage (); else { octave_idx_type n_row, n_col; const octave_idx_type *ridx, *cidx; SparseMatrix sm; SparseComplexMatrix scm; if (args(0).is_sparse_type ()) { if (args(0).is_complex_type ()) { scm = args(0).sparse_complex_matrix_value (); n_row = scm.rows (); n_col = scm.cols (); ridx = scm.xridx (); cidx = scm.xcidx (); } else { sm = args(0).sparse_matrix_value (); n_row = sm.rows (); n_col = sm.cols (); ridx = sm.xridx (); cidx = sm.xcidx (); } } else { if (args(0).is_complex_type ()) sm = SparseMatrix (real (args(0).complex_matrix_value ())); else sm = SparseMatrix (args(0).matrix_value ()); n_row = sm.rows (); n_col = sm.cols (); ridx = sm.xridx (); cidx = sm.xcidx (); } if (!error_state && n_row != n_col) error ("amd: matrix S must be square"); if (!error_state) { OCTAVE_LOCAL_BUFFER (double, Control, AMD_CONTROL); AMD_NAME (_defaults) (Control) ; if (nargin > 1) { octave_scalar_map arg1 = args(1).scalar_map_value (); if (!error_state) { octave_value tmp; tmp = arg1.getfield ("dense"); if (tmp.is_defined ()) Control[AMD_DENSE] = tmp.double_value (); tmp = arg1.getfield ("aggressive"); if (tmp.is_defined ()) Control[AMD_AGGRESSIVE] = tmp.double_value (); } else error ("amd: OPTS argument must be a scalar structure"); } if (!error_state) { OCTAVE_LOCAL_BUFFER (octave_idx_type, P, n_col); Matrix xinfo (AMD_INFO, 1); double *Info = xinfo.fortran_vec (); // FIXME: how can we manage the memory allocation of amd // in a cleaner manner? SUITESPARSE_ASSIGN_FPTR (malloc_func, amd_malloc, malloc); SUITESPARSE_ASSIGN_FPTR (free_func, amd_free, free); SUITESPARSE_ASSIGN_FPTR (calloc_func, amd_calloc, calloc); SUITESPARSE_ASSIGN_FPTR (realloc_func, amd_realloc, realloc); SUITESPARSE_ASSIGN_FPTR (printf_func, amd_printf, printf); octave_idx_type result = AMD_NAME (_order) (n_col, cidx, ridx, P, Control, Info); switch (result) { case AMD_OUT_OF_MEMORY: error ("amd: out of memory"); break; case AMD_INVALID: error ("amd: matrix S is corrupted"); break; default: { if (nargout > 1) retval(1) = xinfo; Matrix Pout (1, n_col); for (octave_idx_type i = 0; i < n_col; i++) Pout.xelem (i) = P[i] + 1; retval(0) = Pout; } } } } } #else error ("amd: not available in this version of Octave"); #endif return retval; } /* %!shared A, A2, opts %! A = ones (20, 30); %! A2 = ones (30, 30); %! %!testif HAVE_AMD %! assert(amd (A2), [1:30]) %! opts.dense = 25; %! assert(amd (A2, opts), [1:30]) %! opts.aggressive = 1; %! assert(amd (A2, opts), [1:30]) %!error <matrix S must be square|not available in this version> amd (A) %!error amd (A2, 2) %!error <matrix S is corrupted|not available in this version> amd ([]) */