view liboctave/floatSCHUR.cc @ 8966:1bba53c0a38d

Implement diag + sparse, diag - sparse, sparse + diag, sparse - diag. Date: Mon, 9 Mar 2009 17:45:22 -0400 This does not use the typical sparse-mx-ops generator. I suspect the sematics of elementwise multiplication and division to be rather controversial, so they are not included. If comparison operations are added, the implementation should be shifted over to use the typical generator. The template in Sparse-diag-op-defs.h likely could use const bools rather than functional argument operations. I haven't measured which is optimized more effectively. Also, the Octave binding layer in op-dm-scm.cc likely could use all sorts of macro or template trickery, but it's far easier to let Emacs handle it for now. That would be worth revisiting if further elementwise sparse and diagonal operations are added.
author Jason Riedy <jason@acm.org>
date Mon, 09 Mar 2009 17:49:14 -0400
parents eb63fbe60fab
children 4c0cdbe0acca
line wrap: on
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/*

Copyright (C) 1994, 1995, 1996, 1997, 1999, 2000, 2002, 2003, 2004,
              2005, 2007, 2008 John W. Eaton

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/>.

*/

#ifdef HAVE_CONFIG_H
#include <config.h>
#endif

#include <iostream>

#include "floatSCHUR.h"
#include "f77-fcn.h"
#include "lo-error.h"

extern "C"
{
  F77_RET_T
  F77_FUNC (sgeesx, SGEESX) (F77_CONST_CHAR_ARG_DECL,
			     F77_CONST_CHAR_ARG_DECL,
			     FloatSCHUR::select_function,
			     F77_CONST_CHAR_ARG_DECL,
			     const octave_idx_type&, float*, const octave_idx_type&, octave_idx_type&,
			     float*, float*, float*, const octave_idx_type&,
			     float&, float&, float*, const octave_idx_type&,
			     octave_idx_type*, const octave_idx_type&, octave_idx_type*, octave_idx_type&
			     F77_CHAR_ARG_LEN_DECL
			     F77_CHAR_ARG_LEN_DECL
			     F77_CHAR_ARG_LEN_DECL);
}

static octave_idx_type
select_ana (const float& a, const float&)
{
   return (a < 0.0);
}

static octave_idx_type
select_dig (const float& a, const float& b)
{
  return (hypot (a, b) < 1.0);
}

octave_idx_type
FloatSCHUR::init (const FloatMatrix& a, const std::string& ord, bool calc_unitary)
{
  octave_idx_type a_nr = a.rows ();
  octave_idx_type a_nc = a.cols ();

  if (a_nr != a_nc)
    {
      (*current_liboctave_error_handler) ("FloatSCHUR requires square matrix");
      return -1;
    }

  // Workspace requirements may need to be fixed if any of the
  // following change.

  char jobvs;
  char sense = 'N';
  char sort = 'N';

  if (calc_unitary)
    jobvs = 'V';
  else
    jobvs = 'N';

  char ord_char = ord.empty () ? 'U' : ord[0];

  if (ord_char == 'A' || ord_char == 'D' || ord_char == 'a' || ord_char == 'd')
    sort = 'S';

  if (ord_char == 'A' || ord_char == 'a')
    selector = select_ana;
  else if (ord_char == 'D' || ord_char == 'd')
    selector = select_dig;
  else
    selector = 0;

  octave_idx_type n = a_nc;
  octave_idx_type lwork = 8 * n;
  octave_idx_type liwork = 1;
  octave_idx_type info;
  octave_idx_type sdim;
  float rconde;
  float rcondv;

  schur_mat = a;

  if (calc_unitary)
    unitary_mat.resize (n, n);

  float *s = schur_mat.fortran_vec ();
  float *q = unitary_mat.fortran_vec ();

  Array<float> wr (n);
  float *pwr = wr.fortran_vec ();

  Array<float> wi (n);
  float *pwi = wi.fortran_vec ();

  Array<float> work (lwork);
  float *pwork = work.fortran_vec ();

  // BWORK is not referenced for the non-ordered Schur routine.
  Array<octave_idx_type> bwork ((ord_char == 'N' || ord_char == 'n') ? 0 : n);
  octave_idx_type *pbwork = bwork.fortran_vec ();

  Array<octave_idx_type> iwork (liwork);
  octave_idx_type *piwork = iwork.fortran_vec ();

  F77_XFCN (sgeesx, SGEESX, (F77_CONST_CHAR_ARG2 (&jobvs, 1),
			     F77_CONST_CHAR_ARG2 (&sort, 1),
			     selector,
			     F77_CONST_CHAR_ARG2 (&sense, 1),
			     n, s, n, sdim, pwr, pwi, q, n, rconde, rcondv,
			     pwork, lwork, piwork, liwork, pbwork, info
			     F77_CHAR_ARG_LEN (1)
			     F77_CHAR_ARG_LEN (1)
			     F77_CHAR_ARG_LEN (1)));

  return info;
}

std::ostream&
operator << (std::ostream& os, const FloatSCHUR& a)
{
  os << a.schur_matrix () << "\n";
  os << a.unitary_matrix () << "\n";

  return os;
}

/*
;;; Local Variables: ***
;;; mode: C++ ***
;;; End: ***
*/