view libinterp/corefcn/lsode.cc @ 23084:ef4d915df748

maint: Merge stable to default.
author John W. Eaton <jwe@octave.org>
date Mon, 23 Jan 2017 14:27:48 -0500
parents 3a2b891d0b33 e9a0469dedd9
children 092078913d54
line wrap: on
line source

/*

Copyright (C) 1996-2016 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/>.

*/

#if defined (HAVE_CONFIG_H)
#  include "config.h"
#endif

#include <string>

#include <iomanip>
#include <iostream>

#include "LSODE.h"
#include "lo-mappers.h"

#include "defun.h"
#include "error.h"
#include "errwarn.h"
#include "ovl.h"
#include "ov-fcn.h"
#include "ov-cell.h"
#include "pager.h"
#include "pr-output.h"
#include "unwind-prot.h"
#include "utils.h"
#include "variables.h"

#include "LSODE-opts.cc"

// Global pointer for user defined function required by lsode.
static octave_function *lsode_fcn;

// Global pointer for optional user defined jacobian function used by lsode.
static octave_function *lsode_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
lsode_user_function (const ColumnVector& x, double t)
{
  ColumnVector retval;

  octave_value_list args;
  args(1) = t;
  args(0) = x;

  if (lsode_fcn)
    {
      octave_value_list tmp;

      try
        {
          tmp = lsode_fcn->do_multi_index_op (1, args);
        }
      catch (octave::execution_exception& e)
        {
          err_user_supplied_eval (e, "lsode");
        }

      if (tmp.empty () || ! tmp(0).is_defined ())
        err_user_supplied_eval ("lsode");

      if (! warned_fcn_imaginary && tmp(0).is_complex_type ())
        {
          warning ("lsode: ignoring imaginary part returned from user-supplied function");
          warned_fcn_imaginary = true;
        }

      retval = tmp(0).xvector_value ("lsode: expecting user supplied function to return numeric vector");

      if (retval.is_empty ())
        err_user_supplied_eval ("lsode");
    }

  return retval;
}

Matrix
lsode_user_jacobian (const ColumnVector& x, double t)
{
  Matrix retval;

  octave_value_list args;
  args(1) = t;
  args(0) = x;

  if (lsode_jac)
    {
      octave_value_list tmp;

      try
        {
          tmp = lsode_jac->do_multi_index_op (1, args);
        }
      catch (octave::execution_exception& e)
        {
          err_user_supplied_eval (e, "lsode");
        }

      if (tmp.empty () || ! tmp(0).is_defined ())
        err_user_supplied_eval ("lsode");

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

      retval = tmp(0).xmatrix_value ("lsode: expecting user supplied jacobian function to return numeric array");

      if (retval.is_empty ())
        err_user_supplied_eval ("lsode");
    }

  return retval;
}

DEFUN (lsode, args, nargout,
       doc: /* -*- texinfo -*-
@deftypefn  {} {[@var{x}, @var{istate}, @var{msg}] =} lsode (@var{fcn}, @var{x_0}, @var{t})
@deftypefnx {} {[@var{x}, @var{istate}, @var{msg}] =} lsode (@var{fcn}, @var{x_0}, @var{t}, @var{t_crit})
Ordinary Differential Equation (ODE) solver.

The set of differential equations to solve is
@tex
$$ {dx \over dt} = f (x, t) $$
with
$$ x(t_0) = x_0 $$
@end tex
@ifnottex

@example
@group
dx
-- = f (x, t)
dt
@end group
@end example

@noindent
with

@example
x(t_0) = x_0
@end example

@end ifnottex
The solution is returned in the matrix @var{x}, with each row
corresponding to an element of the vector @var{t}.  The first element
of @var{t} should be @math{t_0} and should correspond to the initial
state of the system @var{x_0}, so that the first row of the output
is @var{x_0}.

The first argument, @var{fcn}, is a string, inline, or function handle
that names the function @math{f} to call to compute the vector of right
hand sides for the set of equations.  The function must have the form

@example
@var{xdot} = f (@var{x}, @var{t})
@end example

@noindent
in which @var{xdot} and @var{x} are vectors and @var{t} is a scalar.

If @var{fcn} is a two-element string array or a two-element cell array
of strings, inline functions, or function handles, the first element names
the function @math{f} described above, and the second element names a
function to compute the Jacobian of @math{f}.  The Jacobian function
must have the form

@example
@var{jac} = j (@var{x}, @var{t})
@end example

@noindent
in which @var{jac} is the matrix of partial derivatives
@tex
$$ J = {\partial f_i \over \partial x_j} = \left[\matrix{
{\partial f_1 \over \partial x_1}
  & {\partial f_1 \over \partial x_2}
  & \cdots
  & {\partial f_1 \over \partial x_N} \cr
{\partial f_2 \over \partial x_1}
  & {\partial f_2 \over \partial x_2}
  & \cdots
  & {\partial f_2 \over \partial x_N} \cr
 \vdots & \vdots & \ddots & \vdots \cr
{\partial f_3 \over \partial x_1}
  & {\partial f_3 \over \partial x_2}
  & \cdots
  & {\partial f_3 \over \partial x_N} \cr}\right]$$
@end tex
@ifnottex

@example
@group
             | df_1  df_1       df_1 |
             | ----  ----  ...  ---- |
             | dx_1  dx_2       dx_N |
             |                       |
             | df_2  df_2       df_2 |
             | ----  ----  ...  ---- |
      df_i   | dx_1  dx_2       dx_N |
jac = ---- = |                       |
      dx_j   |  .    .     .    .    |
             |  .    .      .   .    |
             |  .    .       .  .    |
             |                       |
             | df_N  df_N       df_N |
             | ----  ----  ...  ---- |
             | dx_1  dx_2       dx_N |
@end group
@end example

@end ifnottex

The second and third arguments specify the initial state of the system,
@math{x_0}, and the initial value of the independent variable @math{t_0}.

The fourth argument is optional, and may be used to specify a set of
times that the ODE solver should not integrate past.  It is useful for
avoiding difficulties with singularities and points where there is a
discontinuity in the derivative.

After a successful computation, the value of @var{istate} will be 2
(consistent with the Fortran version of @sc{lsode}).

If the computation is not successful, @var{istate} will be something
other than 2 and @var{msg} will contain additional information.

You can use the function @code{lsode_options} to set optional
parameters for @code{lsode}.
@seealso{daspk, dassl, dasrt}
@end deftypefn */)
{
  int nargin = args.length ();

  if (nargin < 3 || nargin > 4)
    print_usage ();

  warned_fcn_imaginary = false;
  warned_jac_imaginary = false;

  octave::unwind_protect frame;

  frame.protect_var (call_depth);
  call_depth++;

  if (call_depth > 1)
    error ("lsode: invalid recursive call");

  std::string fcn_name, fname, jac_name, jname;
  lsode_fcn = 0;
  lsode_jac = 0;

  octave_value f_arg = args(0);

  if (f_arg.is_cell ())
    {
      Cell c = f_arg.cell_value ();
      if (c.numel () == 1)
        f_arg = c(0);
      else if (c.numel () == 2)
        {
          if (c(0).is_function_handle () || c(0).is_inline_function ())
            lsode_fcn = c(0).function_value ();
          else
            {
              fcn_name = unique_symbol_name ("__lsode_fcn__");
              fname = "function y = ";
              fname.append (fcn_name);
              fname.append (" (x, t) y = ");
              lsode_fcn = extract_function (c(0), "lsode", fcn_name, fname,
                                            "; endfunction");
            }

          if (lsode_fcn)
            {
              if (c(1).is_function_handle () || c(1).is_inline_function ())
                lsode_jac = c(1).function_value ();
              else
                {
                  jac_name = unique_symbol_name ("__lsode_jac__");
                  jname = "function jac = ";
                  jname.append (jac_name);
                  jname.append (" (x, t) jac = ");
                  lsode_jac = extract_function (c(1), "lsode", jac_name,
                                                jname, "; endfunction");

                  if (! lsode_jac)
                    {
                      if (fcn_name.length ())
                        clear_function (fcn_name);
                      lsode_fcn = 0;
                    }
                }
            }
        }
      else
        error ("lsode: incorrect number of elements in cell array");
    }

  if (! lsode_fcn && ! f_arg.is_cell ())
    {
      if (f_arg.is_function_handle () || f_arg.is_inline_function ())
        lsode_fcn = f_arg.function_value ();
      else
        {
          switch (f_arg.rows ())
            {
            case 1:
              do
                {
                  fcn_name = unique_symbol_name ("__lsode_fcn__");
                  fname = "function y = ";
                  fname.append (fcn_name);
                  fname.append (" (x, t) y = ");
                  lsode_fcn = extract_function (f_arg, "lsode", fcn_name,
                                                fname, "; endfunction");
                }
              while (0);
              break;

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

                fcn_name = unique_symbol_name ("__lsode_fcn__");
                fname = "function y = ";
                fname.append (fcn_name);
                fname.append (" (x, t) y = ");
                lsode_fcn = extract_function (tmp(0), "lsode", fcn_name,
                                              fname, "; endfunction");

                if (lsode_fcn)
                  {
                    jac_name = unique_symbol_name ("__lsode_jac__");
                    jname = "function jac = ";
                    jname.append (jac_name);
                    jname.append (" (x, t) jac = ");
                    lsode_jac = extract_function (tmp(1), "lsode",
                                                  jac_name, jname,
                                                  "; endfunction");

                    if (! lsode_jac)
                      {
                        if (fcn_name.length ())
                          clear_function (fcn_name);
                        lsode_fcn = 0;
                      }
                  }
              }
              break;

            default:
              error ("lsode: first arg should be a string or 2-element string array");
            }
        }
    }

  if (! lsode_fcn)
    error ("lsode: FCN argument is not a valid function name or handle");

  ColumnVector state = args(1).xvector_value ("lsode: initial state X_0 must be a vector");
  ColumnVector out_times = args(2).xvector_value ("lsode: output time variable T must be a vector");

  ColumnVector crit_times;

  int crit_times_set = 0;
  if (nargin > 3)
    {
      crit_times = args(3).xvector_value ("lsode: list of critical times T_CRIT must be a vector");

      crit_times_set = 1;
    }

  double tzero = out_times (0);

  ODEFunc func (lsode_user_function);
  if (lsode_jac)
    func.set_jacobian_function (lsode_user_jacobian);

  LSODE ode (state, tzero, func);

  ode.set_options (lsode_opts);

  Matrix output;
  if (crit_times_set)
    output = ode.integrate (out_times, crit_times);
  else
    output = ode.integrate (out_times);

  if (fcn_name.length ())
    clear_function (fcn_name);
  if (jac_name.length ())
    clear_function (jac_name);

  std::string msg = ode.error_message ();

  octave_value_list retval (3);

  if (ode.integration_ok ())
    retval(0) = output;
  else if (nargout < 2)
    error ("lsode: %s", msg.c_str ());
  else
    retval(0) = Matrix ();

  retval(1) = static_cast<double> (ode.integration_state ());
  retval(2) = msg;

  return retval;
}

/*

## dassl-1.m
##
## Test lsode() function
##
## Author: David Billinghurst (David.Billinghurst@riotinto.com.au)
##         Comalco Research and Technology
##         20 May 1998
##
## Problem
##
##    y1' = -y2,   y1(0) = 1
##    y2' =  y1,   y2(0) = 0
##
## Solution
##
##    y1(t) = cos(t)
##    y2(t) = sin(t)
##
%!function xdot = __f (x, t)
%!  xdot = [-x(2); x(1)];
%!endfunction
%!test
%!
%! x0 = [1; 0];
%! xdot0 = [0; 1];
%! t = (0:1:10)';
%!
%! tol = 500 * lsode_options ("relative tolerance");
%!
%! x = lsode ("__f", x0, t);
%!
%! y = [cos(t), sin(t)];
%!
%! assert (x, y, tol);

%!function xdotdot = __f (x, t)
%!  xdotdot = [x(2); -x(1)];
%!endfunction
%!test
%!
%! x0 = [1; 0];
%! t = [0; 2*pi];
%! tol = 100 * dassl_options ("relative tolerance");
%!
%! x = lsode ("__f", x0, t);
%!
%! y = [1, 0; 1, 0];
%!
%! assert (x, y, tol);

%!function xdot = __f (x, t)
%!  xdot = x;
%!endfunction
%!test
%!
%! x0 = 1;
%! t = [0; 1];
%! tol = 100 * dassl_options ("relative tolerance");
%!
%! x = lsode ("__f", x0, t);
%!
%! y = [1; e];
%!
%! assert (x, y, tol);

%!test
%! lsode_options ("absolute tolerance", eps);
%! assert (lsode_options ("absolute tolerance") == eps);

%!error lsode_options ("foo", 1, 2)
*/