/*

Copyright (C) 1996, 1997, 2002 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.

*/

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

#include <string>

#include <iomanip>
#include <iostream>

#include "DASPK.h"

#include "defun-dld.h"
#include "error.h"
#include "gripes.h"
#include "oct-obj.h"
#include "ov-fcn.h"
#include "pager.h"
#include "unwind-prot.h"
#include "utils.h"
#include "variables.h"

#include "DASPK-opts.cc"

// Global pointer for user defined function required by daspk.
static octave_function *daspk_fcn;

// Global pointer for optional user defined jacobian function.
static octave_function *daspk_jac;

// Have we warned about imaginary values returned from user function?
static bool warned_fcn_imaginary = false;
static bool warned_jac_imaginary = false;

// Is this a recursive call?
static int call_depth = 0;

ColumnVector
daspk_user_function (const ColumnVector& x, const ColumnVector& xdot,
		     double t, int& ires)
{
  ColumnVector retval;

  int nstates = x.capacity ();

  assert (nstates == xdot.capacity ());

  octave_value_list args;
  args(2) = t;

  if (nstates > 1)
    {
      Matrix m1 (nstates, 1);
      Matrix m2 (nstates, 1);
      for (int i = 0; i < nstates; i++)
	{
	  m1 (i, 0) = x (i);
	  m2 (i, 0) = xdot (i);
	}
      octave_value state (m1);
      octave_value deriv (m2);
      args(1) = deriv;
      args(0) = state;
    }
  else
    {
      double d1 = x (0);
      double d2 = xdot (0);
      octave_value state (d1);
      octave_value deriv (d2);
      args(1) = deriv;
      args(0) = state;
    }

  if (daspk_fcn)
    {
      octave_value_list tmp = daspk_fcn->do_multi_index_op (1, args);

      if (error_state)
	{
	  gripe_user_supplied_eval ("daspk");
	  return retval;
	}

      int tlen = tmp.length ();
      if (tlen > 0 && tmp(0).is_defined ())
	{
	  if (! warned_fcn_imaginary && tmp(0).is_complex_type ())
	    {
	      warning ("daspk: ignoring imaginary part returned from user-supplied function");
	      warned_fcn_imaginary = true;
	    }

	  retval = ColumnVector (tmp(0).vector_value ());

	  if (tlen > 1)
	    ires = tmp(1).int_value ();

	  if (error_state || retval.length () == 0)
	    gripe_user_supplied_eval ("daspk");
	}
      else
	gripe_user_supplied_eval ("daspk");
    }

  return retval;
}

Matrix
daspk_user_jacobian (const ColumnVector& x, const ColumnVector& xdot,
		     double t, double cj)
{
  Matrix retval;

  int nstates = x.capacity ();

  assert (nstates == xdot.capacity ());

  octave_value_list args;

  args(3) = cj;
  args(2) = t;

  if (nstates > 1)
    {
      Matrix m1 (nstates, 1);
      Matrix m2 (nstates, 1);
      for (int i = 0; i < nstates; i++)
	{
	  m1 (i, 0) = x (i);
	  m2 (i, 0) = xdot (i);
	}
      octave_value state (m1);
      octave_value deriv (m2);
      args(1) = deriv;
      args(0) = state;
    }
  else
    {
      double d1 = x (0);
      double d2 = xdot (0);
      octave_value state (d1);
      octave_value deriv (d2);
      args(1) = deriv;
      args(0) = state;
    }

  if (daspk_jac)
    {
      octave_value_list tmp = daspk_jac->do_multi_index_op (1, args);

      if (error_state)
	{
	  gripe_user_supplied_eval ("daspk");
	  return retval;
	}

      int tlen = tmp.length ();
      if (tlen > 0 && tmp(0).is_defined ())
	{
	  if (! warned_jac_imaginary && tmp(0).is_complex_type ())
	    {
	      warning ("daspk: ignoring imaginary part returned from user-supplied jacobian function");
	      warned_jac_imaginary = true;
	    }

	  retval = tmp(0).matrix_value ();

	  if (error_state || retval.length () == 0)
	    gripe_user_supplied_eval ("daspk");
	}
      else
	gripe_user_supplied_eval ("daspk");
    }

  return retval;
}

#define DASPK_ABORT() \
  do \
    { \
      unwind_protect::run_frame ("Fdaspk"); \
      return retval; \
    } \
  while (0)

#define DASPK_ABORT1(msg) \
  do \
    { \
      ::error ("daspk: " msg); \
      DASPK_ABORT (); \
    } \
  while (0)

#define DASPK_ABORT2(fmt, arg) \
  do \
    { \
      ::error ("daspk: " fmt, arg); \
      DASPK_ABORT (); \
    } \
  while (0)

DEFUN_DLD (daspk, args, nargout,
  "-*- texinfo -*-\n\
@deftypefn {Loadable Function} {[@var{x}, @var{xdot}, @var{istate}, @var{msg}] =} daspk (@var{fcn}, @var{x_0}, @var{xdot_0}, @var{t}, @var{t_crit})\n\
Solve the set of differential-algebraic equations\n\
@tex\n\
$$ 0 = f (\\dot{x}, x, t) $$\n\
with\n\
$$ x(t_0) = x_0, \\dot{x}(t_0) = \\dot{x}_0 $$\n\
@end tex\n\
@ifinfo\n\
\n\
@example\n\
0 = f (xdot, x, t)\n\
@end example\n\
\n\
with\n\
\n\
@example\n\
x(t_0) = x_0, xdot(t_0) = xdot_0\n\
@end example\n\
\n\
@end ifinfo\n\
The solution is returned in the matrices @var{x} and @var{xdot},\n\
with each row in the result matrices corresponding to one of the\n\
elements in the vector @var{t}.  The first element of @var{t}\n\
should be @math{t_0} and correspond to the initial state of the\n\
system @var{x_0} and its derivative @var{xdot_0}, so that the first\n\
row of the output @var{x} is @var{x_0} and the first row\n\
of the output @var{xdot} is @var{xdot_0}.\n\
\n\
The first argument, @var{fcn}, is a string that names the function to\n\
call to compute the vector of residuals for the set of equations.\n\
It must have the form\n\
\n\
@example\n\
@var{res} = f (@var{x}, @var{xdot}, @var{t})\n\
@end example\n\
\n\
@noindent\n\
in which @var{x}, @var{xdot}, and @var{res} are vectors, and @var{t} is a\n\
scalar.\n\
\n\
If @var{fcn} is a two-element string array, the first element names\n\
the function @math{f} described above, and the second element names\n\
a function to compute the modified Jacobian\n\
@tex\n\
$$\n\
J = {\\partial f \\over \\partial x}\n\
  + c {\\partial f \\over \\partial \\dot{x}}\n\
$$\n\
@end tex\n\
@ifinfo\n\
\n\
@example\n\
      df       df\n\
jac = -- + c ------\n\
      dx     d xdot\n\
@end example\n\
@end ifinfo\n\
\n\
The modified Jacobian function must have the form\n\
\n\
@example\n\
\n\
@var{jac} = j (@var{x}, @var{xdot}, @var{t}, @var{c})\n\
\n\
@end example\n\
\n\
The second and third arguments to @code{daspk} specify the initial\n\
condition of the states and their derivatives, and the fourth argument\n\
specifies a vector of output times at which the solution is desired,\n\
including the time corresponding to the initial condition.\n\
\n\
The set of initial states and derivatives are not strictly required to\n\
be consistent.  If they are not consistent, you must use the\n\
@code{daspk_options} function to provide additional information so\n\
that @code{daspk} can compute a consistent starting point.\n\
\n\
The fifth argument is optional, and may be used to specify a set of\n\
times that the DAE solver should not integrate past.  It is useful for\n\
avoiding difficulties with singularities and points where there is a\n\
discontinuity in the derivative.\n\
\n\
After a successful computation, the value of @var{istate} will be\n\
greater than zero (consistent with the Fortran version of @sc{Daspk}).\n\
\n\
If the computation is not successful, the value of @var{istate} will be\n\
less than zero and @var{msg} will contain additional information.\n\
\n\
You can use the function @code{daspk_options} to set optional\n\
parameters for @code{daspk}.\n\
@end deftypefn\n\
@seealso{dassl}")
{
  octave_value_list retval;

  warned_fcn_imaginary = false;
  warned_jac_imaginary = false;

  unwind_protect::begin_frame ("Fdaspk");

  unwind_protect_int (call_depth);
  call_depth++;

  if (call_depth > 1)
    DASPK_ABORT1 ("invalid recursive call");

  int nargin = args.length ();

  if (nargin > 3 && nargin < 6)
    {
      daspk_fcn = 0;
      daspk_jac = 0;

      octave_value f_arg = args(0);

      switch (f_arg.rows ())
	{
	case 1:
	  daspk_fcn = extract_function
	    (args(0), "daspk", "__daspk_fcn__",
	     "function res = __daspk_fcn__ (x, xdot, t) res = ",
	     "; endfunction");
	  break;

	case 2:
	  {
	    string_vector tmp = f_arg.all_strings ();

	    if (! error_state)
	      {
		daspk_fcn = extract_function
		  (tmp(0), "daspk", "__daspk_fcn__",
		   "function res = __daspk_fcn__ (x, xdot, t) res = ",
		   "; endfunction");

		if (daspk_fcn)
		  {
		    daspk_jac = extract_function
		      (tmp(1), "daspk", "__daspk_jac__",
		       "function jac = __daspk_jac__ (x, xdot, t, cj) jac = ",
		       "; endfunction");

		    if (! daspk_jac)
		      daspk_fcn = 0;
		  }
	      }
	  }
	}

      if (error_state || ! daspk_fcn)
	DASPK_ABORT ();

      ColumnVector state = ColumnVector (args(1).vector_value ());

      if (error_state)
	DASPK_ABORT1 ("expecting state vector as second argument");

      ColumnVector deriv (args(2).vector_value ());

      if (error_state)
	DASPK_ABORT1 ("expecting derivative vector as third argument");

      ColumnVector out_times (args(3).vector_value ());

      if (error_state)
	DASPK_ABORT1 ("expecting output time vector as fourth argument");

      ColumnVector crit_times;
      int crit_times_set = 0;
      if (nargin > 4)
	{
	  crit_times = ColumnVector (args(4).vector_value ());

	  if (error_state)
	    DASPK_ABORT1 ("expecting critical time vector as fifth argument");

	  crit_times_set = 1;
	}

      if (state.capacity () != deriv.capacity ())
	DASPK_ABORT1 ("x and xdot must have the same size");

      double tzero = out_times (0);

      DAEFunc func (daspk_user_function);
      if (daspk_jac)
	func.set_jacobian_function (daspk_user_jacobian);

      DASPK dae (state, deriv, tzero, func);
      dae.set_options (daspk_opts);

      Matrix output;
      Matrix deriv_output;

      if (crit_times_set)
	output = dae.integrate (out_times, deriv_output, crit_times);
      else
	output = dae.integrate (out_times, deriv_output);

      if (! error_state)
	{
	  std::string msg = dae.error_message ();

	  retval(3) = msg;
	  retval(2) = static_cast<double> (dae.integration_state ());

	  if (dae.integration_ok ())
	    {
	      retval(1) = deriv_output;
	      retval(0) = output;
	    }
	  else
	    {
	      retval(1) = Matrix ();
	      retval(0) = Matrix ();

	      if (nargout < 3)
		error ("daspk: %s", msg.c_str ());
	    }
	}
    }
  else
    print_usage ("daspk");

  unwind_protect::run_frame ("Fdaspk");

  return retval;
}

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