view src/DLD-FUNCTIONS/amd.cc @ 8377:25bc2d31e1bf

improve OCTAVE_LOCAL_BUFFER
author Jaroslav Hajek <highegg@gmail.com>
date Wed, 29 Oct 2008 16:52:10 +0100
parents 9238637cb81c
children 7c02ec148a3c
line wrap: on
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/*

Copyright (C) 2008 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 IDX_TYPE_LONG
#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\
Returns the approximate minimum degree permutation of a matrix. This\n\
permutation such that the Cholesky factorization of @code{@var{s} (@var{p},\n\
@var{p})} tends to be sparser than the Cholesky factorization of @var{s}\n\
itself. @code{amd} is typically faster than @code{symamd} but serves a\n\
similar purpose.\n\
\n\
The optional parameter @var{opts} is a structure that controls the\n\
behavior of @code{amd}. The fields of these structure are\n\
\n\
@table @asis\n\
@item 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 that @code{max(16, (dense *\n\
sqrt (@var{n})} entries, where @var{n} is the order of the matrix @var{s},\n\
are igorned by @code{amd} during the calculation of the permutation\n\
The value of dense must be a positive scalar and its default value is 10.0\n\
\n\
@item opts.aggressive\n\
If this value is a non zero scalar, then @code{amd} performs agressive\n\
absorption. The default is not to perform agressive absorption.\n\
@end table\n\
\n\
The author of the code itself is Timothy A. Davis (davis@@cise.ufl.edu),\n\
University of Florida (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, nnz;
      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 ();
	      nnz = scm.nzmax ();
	      ridx = scm.xridx ();
	      cidx = scm.xcidx ();
	    }
	  else
	    {
	      sm = args(0).sparse_matrix_value ();
	      n_row = sm.rows ();
	      n_col = sm.cols ();
	      nnz = sm.nzmax ();
	      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 ();
	  nnz = sm.nzmax ();
	  ridx = sm.xridx ();
	  cidx = sm.xcidx ();
	}

      if (!error_state && n_row != n_col)
	error ("amd: input matrix must be square");

      if (!error_state)
	{
	  OCTAVE_LOCAL_BUFFER (double, Control, AMD_CONTROL);
	  AMD_NAME (_defaults) (Control) ;
	  if (nargin > 1)
	    {
	      Octave_map arg1 = args(1).map_value ();
	  
	      if (!error_state)
		{
		  if (arg1.contains ("dense"))
		    {
		      Cell c = arg1.contents ("dense");
		      if (c.length() == 1)
			Control[AMD_DENSE] = c.elem(0).double_value ();
		      else
			error ("amd: invalid options structure");
		    }
		  if (arg1.contains ("aggressive"))
		    {
		      Cell c = arg1.contents ("aggressive");
		      if (c.length() == 1)
			Control[AMD_AGGRESSIVE] = c.elem(0).double_value ();
		      else
			error ("amd: invalid options 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? 
	      amd_malloc = malloc;
	      amd_free = free;
	      amd_calloc = calloc;
	      amd_realloc = realloc;
	      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: input matrix 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;
}