/*

Copyright (C) 1996, 1997 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 2, 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, write to the Free
Software Foundation, 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.

*/

// Written by A. S. Hodel <scotte@eng.auburn.edu>

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

#include <string>

#include "CmplxAEPBAL.h"
#include "CmplxAEPBAL.h"
#include "dbleAEPBAL.h"
#include "dbleAEPBAL.h"

#include "defun-dld.h"
#include "error.h"
#include "f77-fcn.h"
#include "gripes.h"
#include "oct-obj.h"
#include "utils.h"

extern "C"
{
  int F77_FCN (dggbal, DGGBAL) (const char* JOB, const int& N,
				double* A, const int& LDA, double* B,
				const int& LDB, int& ILO, int& IHI,
				double* LSCALE, double* RSCALE,
				double* WORK, int& INFO, long);

  int F77_FCN (dggbak, DGGBAK) (const char* JOB, const char* SIDE,
				const int& N, const int& ILO,
				const int& IHI, double* LSCALE,
				double* RSCALE, int& M,	double* V,
				const int& LDV, int& INFO, long, long);

  int F77_FCN (zggbal, ZGGBAL) (const char* JOB, const int& N,
				Complex* A, const int& LDA, Complex* B,
				const int& LDB, int& ILO, int& IHI,
				double* LSCALE, double* RSCALE,
				double* WORK, int& INFO, long);
}

DEFUN_DLD (balance, args, nargout,
  "AA = balance (A [, OPT]) or [[DD,] AA] = balance (A [, OPT])\n\
\n\
generalized eigenvalue problem:\n\
\n\
  [cc, dd, aa, bb] = balance (a, b [, opt])\n\
\n\
where OPT is an optional single character argument as follows: \n\
\n\
  N: no balancing; arguments copied, transformation(s) set to identity\n\
  P: permute argument(s) to isolate eigenvalues where possible\n\
  S: scale to improve accuracy of computed eigenvalues\n\
  B: (default) permute and scale, in that order.  Rows/columns\n\
     of a (and b) that are isolated by permutation are not scaled\n\
\n\
[DD, AA] = balance (A, OPT) returns aa = inv(dd)*a*dd,\n\
\n\
[CC, DD, AA, BB] = balance (A, B, OPT) returns AA (BB) = CC*A*DD (CC*B*DD)")
{
  octave_value_list retval;

  int nargin = args.length ();

  if (nargin < 1 || nargin > 3 || nargout < 0 || nargout > 4)
    {
      print_usage ("balance");
      return retval;
    }

  // determine if it's AEP or GEP
  int AEPcase = nargin == 1 ? 1 : args(1).is_string ();
  string bal_job;

  // problem dimension
  int nn = args(0).rows ();

  int arg_is_empty = empty_arg ("balance", nn, args(0).columns());

  if (arg_is_empty < 0)
    return retval;

  if (arg_is_empty > 0)
    return octave_value_list (2, Matrix ());

  if (nn != args(0).columns())
    {
      gripe_square_matrix_required ("balance");
      return retval;
    }

  // Extract argument 1 parameter for both AEP and GEP.
  Matrix aa;
  ComplexMatrix caa;

  if (args(0).is_complex_type ())
    caa = args(0).complex_matrix_value ();
  else
    aa = args(0).matrix_value ();

  if (error_state)
    return retval;

  // Treat AEP/GEP cases.
  if (AEPcase)
    {  
      // Algebraic eigenvalue problem.

      if (nargin == 1)
	bal_job = "B";
      else if (args(1).is_string ())
	bal_job = args(1).string_value ();
      else
	{
	  error ("balance: AEP argument 2 must be a string");
	  return retval;
	}

      // balance the AEP
      if (args(0).is_complex_type ())
	{
	  ComplexAEPBALANCE result (caa, bal_job);

	  if (nargout == 0 || nargout == 1)
	    retval(0) = result.balanced_matrix ();
	  else
	    {
	      retval(1) = result.balanced_matrix ();
	      retval(0) = result.balancing_matrix ();
	    }
	}
      else
	{
	  AEPBALANCE result (aa, bal_job);

	  if (nargout == 0 || nargout == 1)
	    retval(0) = result.balanced_matrix ();
	  else
	    {
	      retval(1) = result.balanced_matrix ();
	      retval(0) = result.balancing_matrix ();
	    }
	}
    }
  else
    {
      // Generalized eigenvalue problem.
      if (nargin == 2)
	bal_job = "B";
      else if (args(2).is_string ())
	bal_job = args(2).string_value ();
      else
	{
	  error ("balance: GEP argument 3 must be a string");
	  return retval;
	}

      if ((nn != args(1).columns ()) || (nn != args(1).rows ()))
	{
	  gripe_nonconformant ();
	  return retval;
	}

      Matrix bb;
      ComplexMatrix cbb;

      if (args(1).is_complex_type ())
	cbb = args(1).complex_matrix_value ();
      else
	bb = args(1).matrix_value ();

      if (error_state)
	return retval;

      // Both matrices loaded, now let's check what kind of arithmetic:
      // first, declare variables used in both the real and complex case

      int ilo, ihi, info;
      RowVector lscale(nn), rscale(nn), work(6*nn);
      char job = bal_job[0];

      static int complex_case
	= (args(0).is_complex_type () || args(1).is_complex_type ());

      // now balance
      if (complex_case)
	{
	  if (args(0).is_real_type ())
	    caa = aa;

	  if (args(1).is_real_type ())
	    cbb = bb;
  
	  F77_XFCN (zggbal, ZGGBAL,
		    (&job, nn, caa.fortran_vec(), nn,
		     cbb.fortran_vec(), nn, ilo, ihi,
		     lscale.fortran_vec(), rscale.fortran_vec(),
		     work.fortran_vec(), info, 1L));

	  if (f77_exception_encountered)
	    {
	      error ("unrecoverable error in balance GEP");
	      return retval;
	    }
	}
      else
	{
	  // real matrices case

	  F77_XFCN (dggbal, DGGBAL,
		    (&job,  nn, aa.fortran_vec(), nn, bb.fortran_vec(),
		     nn, ilo, ihi, lscale.fortran_vec(),
		     rscale.fortran_vec(), work.fortran_vec(), info, 1L));
      
	  if (f77_exception_encountered)
	    {
	      error ("unrecoverable error in balance GEP");
	      return retval;
	    }
	}
      
      // Since we just want the balancing matrices, we can use dggbal
      // for both the real and complex cases.

      Matrix Pl(nn,nn), Pr(nn,nn);

      for (int ii = 0; ii < nn; ii++)
	for (int jj = 0; jj < nn; jj++)
	  Pl(ii,jj) = Pr(ii,jj) = (ii == jj ? 1.0 : 0.0);
  
      // left first
      F77_XFCN (dggbak, DGGBAK,
		(&job, "L", nn, ilo, ihi, lscale.fortran_vec(),
		 rscale.fortran_vec(), nn, Pl.fortran_vec(),
		 nn, info, 1L, 1L));
      
      if (f77_exception_encountered)
	{
	  error ("unrecoverable error in balance GEP(L)");
	  return retval;
	}
      
      // then right
      F77_XFCN (dggbak, DGGBAK,
		(&job, "R", nn, ilo, ihi, lscale.fortran_vec(),
		 rscale.fortran_vec(), nn, Pr.fortran_vec(),
		 nn, info, 1L, 1L));

      if (f77_exception_encountered)
	{
	  error ("unrecoverable error in balance GEP(R)");
	  return retval;
	}

      switch (nargout)
	{
	case 0:
	case 1:
	  warning ("balance: used GEP, should have two output arguments");
	  if (complex_case)
	    retval(0) = caa;
	  else
	    retval(0) = aa;
	  break;

	case 2:
	  if (complex_case)
	    {
	      retval(1) = cbb;
	      retval(0) = caa;
	    }
	  else
	    {
	      retval(1) = bb;
	      retval(0) = aa;
	    }
	  break;

	case 4:
	  if (complex_case)
	    {
	      retval(3) = cbb;
	      retval(2) = caa;
	    }
	  else
	    {
	      retval(3) = bb;
	      retval(2) = aa;
	    }
	  retval(1) = Pr;
	  retval(0) = Pl.transpose ();  // so that aa_bal = cc*aa*dd, etc.
	  break;

	default:
	  error ("balance: invalid number of output arguments");
	  break;
	}
    }

  return retval;
}

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