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## -*- texinfo -*-
## @deftypefn  {} {[@var{t}, @var{y}] =} ode15s (@var{fcn}, @var{trange}, @var{y0})
## @deftypefnx {} {[@var{t}, @var{y}] =} ode15s (@var{fcn}, @var{trange}, @var{y0}, @var{ode_opt})
## @deftypefnx {} {[@var{t}, @var{y}, @var{te}, @var{ye}, @var{ie}] =} ode15s (@dots{})
## @deftypefnx {} {@var{solution} =} ode15s (@dots{})
## @deftypefnx {} {} ode15s (@dots{})
## Solve a set of stiff Ordinary Differential Equations (ODEs) or stiff
## semi-explicit index 1 Differential Algebraic Equations (DAEs).
##
## @code{ode15s} uses a variable step, variable order BDF (Backward
## Differentiation Formula) method that ranges from order 1 to 5.
##
## @var{fcn} is a function handle, inline function, or string containing the
## name of the function that defines the ODE: @code{y' = f(t,y)}.  The function
## must accept two inputs where the first is time @var{t} and the second is a
## column vector of unknowns @var{y}.
##
## @var{trange} specifies the time interval over which the ODE will be
## evaluated.  Typically, it is a two-element vector specifying the initial and
## final times (@code{[tinit, tfinal]}).  If there are more than two elements
## then the solution will also be evaluated at these intermediate time
## instances.
##
## @var{init} contains the initial value for the unknowns.  If it is a row
## vector then the solution @var{y} will be a matrix in which each column is
## the solution for the corresponding initial value in @var{init}.
##
## The optional fourth argument @var{ode_opt} specifies non-default options to
## the ODE solver.  It is a structure generated by @code{odeset}.
##
## The function typically returns two outputs.  Variable @var{t} is a
## column vector and contains the times where the solution was found.  The
## output @var{y} is a matrix in which each column refers to a different
## unknown of the problem and each row corresponds to a time in @var{t}.
##
## The output can also be returned as a structure @var{solution} which has a
## field @var{x} containing a row vector of times where the solution was
## evaluated and a field @var{y} containing the solution matrix such that each
## column corresponds to a time in @var{x}.  Use
## @w{@code{fieldnames (@var{solution})}} to see the other fields and
## additional information returned.
##
## If no output arguments are requested, and no @qcode{"OutputFcn"} is
## specified in @var{ode_opt}, then the @qcode{"OutputFcn"} is set to
## @code{odeplot} and the results of the solver are plotted immediately.
##
## If using the @qcode{"Events"} option then three additional outputs may be
## returned.  @var{te} holds the time when an Event function returned a zero.
## @var{ye} holds the value of the solution at time @var{te}.  @var{ie}
## contains an index indicating which Event function was triggered in the case
## of multiple Event functions.
##
## Example: Solve @nospell{Robertson's} equations:
##
## @smallexample
## @group
## function r = robertson_dae (@var{t}, @var{y})
##   r = [ -0.04*@var{y}(1) + 1e4*@var{y}(2)*@var{y}(3)
##          0.04*@var{y}(1) - 1e4*@var{y}(2)*@var{y}(3) - 3e7*@var{y}(2)^2
##               @var{y}(1) + @var{y}(2) + @var{y}(3) - 1 ];
## endfunction
## opt = odeset ("Mass", [1 0 0; 0 1 0; 0 0 0], "MStateDependence", "none");
## [@var{t},@var{y}] = ode15s (@@robertson_dae, [0, 1e3], [1; 0; 0], opt);
## @end group
## @end smallexample
## @seealso{decic, odeset, odeget, ode23, ode45}
## @end deftypefn

function varargout = ode15s (fcn, trange, y0, varargin)

  if (nargin < 3)
    print_usage ();
  endif

  solver = "ode15s";
  ## Check fcn, trange, y0, yp0
  fcn = check_default_input (fcn, trange, solver, y0);

  n = numel (y0);

  if (nargin > 3)
   options = varargin{1};
  else
   options = odeset ();
  endif

  if (! isempty (options.Mass))
    if (ischar (options.Mass))
      if (! exist (options.Mass))
        error ("Octave:invalid-input-arg",
               ['ode15s: "Mass" function "' options.Mass '" not found']);
      endif
      options.Mass = str2func (options.Mass);
    endif
    if (! is_function_handle (options.Mass) && ! isnumeric (options.Mass))
      error ("Octave:invalid-input-arg",
             'ode15s: "Mass" field must be a function handle or square matrix');
    endif
  endif

  if (! isempty (options.Jacobian))
    if (ischar (options.Jacobian))
      if (! exist (options.Jacobian))
        error ("Octave:invalid-input-arg",
               ['ode15s: "Jacobian" function "' options.Jacobian '" not found']);
      endif
      options.Jacobian = str2func (options.Jacobian);
    endif
    if (! is_function_handle (options.Jacobian)
        && ! isnumeric (options.Jacobian))
      error ("Octave:invalid-input-arg",
             'ode15s: "Jacobian" field must be a function handle or square matrix');
    endif
  endif

  if (! isempty (options.OutputFcn))
    if (ischar (options.OutputFcn))
      if (! exist (options.OutputFcn))
        error ("Octave:invalid-input-arg",
               ['ode15s: "OutputFcn" function "' options.OutputFcn '" not found']);
      endif
      options.OutputFcn = str2func (options.OutputFcn);
    endif
    if (! is_function_handle (options.OutputFcn))
      error ("Octave:invalid-input-arg",
             'ode15s: "OutputFcn" must be a valid function handle');
    endif
  endif

  if (! isempty (options.Events))
    if (ischar (options.Events))
      if (! exist (options.Events))
        error ("Octave:invalid-input-arg",
               ['ode15s: "Events" function "' options.Events '" not found']);
      endif
      options.Events = str2func (options.Events);
    endif
    if (! is_function_handle (options.Events))
      error ("Octave:invalid-input-arg",
             'ode15s: "Events" must be a valid function handle');
    endif
  endif

  [defaults, classes, attributes] = odedefaults (n, trange(1), trange(end));

  classes    = odeset (classes, "Vectorized", {});
  attributes = odeset (attributes, "Jacobian", {}, "Vectorized", {});

  options = odemergeopts ("ode15s", options, defaults,
                          classes, attributes, solver);

  ## Mass
  options.havemassfcn    = false;
  options.havestatedep   = false;
  options.havetimedep    = false;
  options.havemasssparse = false;

  if (! isempty (options.Mass))
    if (is_function_handle (options.Mass))
      options.havemassfcn = true;
      if (nargin (options.Mass) == 2)
        options.havestatedep = true;
        M = options.Mass (trange(1), y0);
        if (! issquare (M) || rows (M) != n || ! isnumeric (M) || ! isreal (M))
          error ("Octave:invalid-input-arg",
                 'ode15s: "Mass" function must evaluate to a real square matrix');
        endif
        options.havemasssparse = issparse (M);
      elseif (nargin (options.Mass) == 1)
        options.havetimedep = true;
        M = options.Mass (trange(1));
        if (! issquare (M) || rows (M) != n || ! isnumeric (M) || ! isreal (M))
          error ("Octave:invalid-input-arg",
                 'ode15s: "Mass" function must evaluate to a real square matrix');
        endif
        options.havemasssparse = issparse (M);
      else
        error ("Octave:invalid-input-arg",
               'ode15s: invalid value assigned to field "Mass"');
      endif
    else    # matrix Mass input
      if (! issquare (options.Mass) || rows (options.Mass) != n
          || ! isnumeric (options.Mass) || ! isreal (options.Mass))
        error ("Octave:invalid-input-arg",
               'ode15s: "Mass" matrix must be a real square matrix');
      endif
      options.havemasssparse = issparse (options.Mass);
    endif
  endif

  ## Jacobian
  options.havejac       = false;
  options.havejacsparse = false;
  options.havejacfun    = false;

  if (! isempty (options.Jacobian))
    options.havejac = true;
    if (is_function_handle (options.Jacobian))
      options.havejacfun = true;
      if (nargin (options.Jacobian) == 2)
        A = options.Jacobian (trange(1), y0);
        if (! issquare (A) || rows (A) != n || ! isnumeric (A) || ! isreal (A))
          error ("Octave:invalid-input-arg",
                 'ode15s: "Jacobian" function must evaluate to a real square matrix');
        endif
        options.havejacsparse = issparse (A);  # Jac is sparse fcn
      else
        error ("Octave:invalid-input-arg",
               'ode15s: invalid value assigned to field "Jacobian"');
      endif
    else  # matrix input
      if (! issquare (options.Jacobian) || rows (options.Jacobian) != n
          || ! isnumeric (options.Jacobian) || ! isreal (options.Jacobian))
        error ("Octave:invalid-input-arg",
               'ode15s: "Jacobian" matrix must be a real square matrix');
      endif
      options.havejacsparse = issparse (options.Jacobian);
    endif
  endif

  ## Derivative of M(t,y) for implicit problem not implemented yet
  if (! isempty (options.Mass) && ! isempty (options.Jacobian))
    if (options.MStateDependence != "none" || options.havestatedep == true)
      options.havejac = false;
      options.Jacobian = [];
      warning ("ode15s:mass_state_dependent_provided",
              ["with MStateDependence != 'none' an internal", ...
               " approximation of the Jacobian Matrix will be used.", ...
               "  Set MStateDependence equal to 'none' if you want", ...
               " to provide a constant or time-dependent Jacobian"]);
    endif
  endif

  ## Use sparse methods only if all matrices are sparse
  if (! isempty (options.Mass)) && (! options.havemasssparse)
    options.havejacsparse = false;
  endif

  ## If Mass or Jacobian is fcn, then new Jacobian is fcn
  if (options.havejac)
    if (options.havejacfun || options.havetimedep)
      options.Jacobian = @ (t, y, yp) wrapjacfcn (t, y, yp,
                                                  options.Jacobian,
                                                  options.Mass,
                                                  options.havetimedep,
                                                  options.havejacfun);
      options.havejacfun = true;
    else   # All matrices are constant
      if (! isempty (options.Mass))
        options.Jacobian = {[- options.Jacobian], [options.Mass]};
      else
        if (options.havejacsparse)
          options.Jacobian = {[- options.Jacobian], speye(n)};
        else
          options.Jacobian = {[- options.Jacobian], eye(n)};
        endif
      endif

    endif
  endif

  ## Abstol and Reltol
  options.haveabstolvec = false;

  if (numel (options.AbsTol) != 1 && numel (options.AbsTol) != n)
    error ("Octave:invalid-input-arg",
           'ode15s: invalid value assigned to field "AbsTol"');
  elseif (numel (options.AbsTol) == n)
    options.haveabstolvec = true;
  endif

  ## Stats
  options.havestats = strcmpi (options.Stats, "on");

  ## Don't use Refine when the output is a structure
  if (nargout == 1)
    options.Refine = 1;
  endif

  ## OutputFcn and OutputSel
  if (isempty (options.OutputFcn) && nargout == 0)
    options.OutputFcn = @odeplot;
    options.haveoutputfunction = true;
  else
    options.haveoutputfunction = ! isempty (options.OutputFcn);
  endif

  options.haveoutputselection = ! isempty (options.OutputSel);
  if (options.haveoutputselection)
    options.OutputSel = options.OutputSel - 1;
  endif

  ## Events
  options.haveeventfunction = ! isempty (options.Events);

  yp0 = options.InitialSlope;

  ## 2 arguments in the event callback of ode15s
  [t, y, te, ye, ie] = __ode15__ (@ (t, y, yp) wrap (t, y, yp, options.Mass,
                                                     options.havetimedep,
                                                     options.havestatedep,
                                                     fcn),
                                  trange, y0, yp0, options, 2);

  if (nargout == 2)
    varargout{1} = t;
    varargout{2} = y;
  elseif (nargout == 1)
    varargout{1}.x = t.';  # Time stamps saved in field x (row vector)
    varargout{1}.y = y.';  # Results are saved in field y (row vector)
    varargout{1}.solver = solver;
    if (options.haveeventfunction)
      varargout{1}.xe = te.';  # Time info when an event occurred
      varargout{1}.ye = ye.';  # Results when an event occurred
      varargout{1}.ie = ie.';  # Index info which event occurred
    endif
  elseif (nargout > 2)
    varargout = cell (1,5);
    varargout{1} = t;
    varargout{2} = y;
    if (options.haveeventfunction)
      varargout{3} = te;  # Time info when an event occurred
      varargout{4} = ye;  # Results when an event occurred
      varargout{5} = ie;  # Index info which event occurred
    endif
  endif

endfunction

function res = wrap (t, y, yp, Mass, havetimedep, havestatedep, fcn)

  if (! isempty (Mass) && havestatedep)
    res = Mass (t, y) * yp - fcn (t, y);
  elseif (! isempty (Mass) && havetimedep)
    res = Mass (t) * yp - fcn (t, y);
  elseif (! isempty (Mass))
    res = Mass * yp - fcn (t, y);
  else
    res = yp - fcn (t, y);
  endif

endfunction

function [jac, jact] = wrapjacfcn (t, y, yp, Jac, Mass,
                                   havetimedep, havejacfcn)

  if (havejacfcn)
    jac = - Jac (t, y);
  else
    jac = - Jac;
  endif

  if (! isempty (Mass) && havetimedep)
    jact = Mass (t);
  elseif (! isempty (Mass))
    jact = Mass;
  else
    jact = speye (numel (y));
  endif

endfunction


%!demo
%! ## Solve Robertson's equations with ode15s
%! fcn = @ (t, y) [-0.04*y(1) + 1e4*y(2).*y(3);
%!                  0.04*y(1) - 1e4*y(2).*y(3) - 3e7*y(2).^2;
%!                  y(1) + y(2) + y(3) - 1];
%!
%! y0 = [1; 0; 0];
%! tspan = [0, 4*logspace(-6, 6)];
%! M = [1, 0, 0; 0, 1, 0; 0, 0, 0];
%!
%! options = odeset ("RelTol", 1e-4, "AbsTol", [1e-6, 1e-10, 1e-6],
%!                   "MStateDependence", "none", "Mass", M);
%!
%! [t, y] = ode15s (fcn, tspan, y0, options);
%!
%! y(:,2) = 1e4 * y(:,2);
%! figure (2);
%! semilogx (t, y, "o");
%! xlabel ("time");
%! ylabel ("species concentration");
%! title ("Robertson DAE problem with a Conservation Law");
%! legend ("y1", "y2", "y3");

%!function ydot = fpol (t, y)  # Van der Pol equation
%!  ydot = [y(2); (1 - y(1)^2) * y(2) - y(1)];
%!endfunction
%!
%!function ref = fref ()       # The computed reference sol
%!  ref = [0.32331666704577, -1.83297456798624];
%!endfunction
%!
%!function jac = fjac (t, y)   # its Jacobian
%!  jac = [0, 1; -1 - 2 * y(1) * y(2), 1 - y(1)^2];
%!endfunction
%!
%!function jac = fjcc (t, y)   # sparse type
%!  jac = sparse ([0, 1; -1 - 2 * y(1) * y(2), 1 - y(1)^2]);
%!endfunction
%!
%!function mas = fmas (t, y)
%!  mas = [1, 0; 0, 1];           # Dummy mass matrix for tests
%!endfunction
%!
%!function mas = fmsa (t, y)
%!  mas = sparse ([1, 0; 0, 1]);  # A sparse dummy matrix
%!endfunction
%!
%!function res = rob (t, y)
%!  res = [-0.04*y(1) + 1e4*y(2).*y(3);
%!          0.04*y(1) - 1e4*y(2).*y(3) - 3e7*y(2).^2;
%!          y(1) + y(2) + y(3) - 1];
%!endfunction
%!
%!function refrob = frefrob ()
%!  refrob = [100, 0.617234887614937, 0.000006153591397, 0.382758958793666];
%!endfunction
%!
%!function [val, isterminal, direction] = feve (t, y)
%!  isterminal = [0, 1];
%!  if (t < 1e1)
%!    val = [-1, -2];
%!  else
%!    val = [1, 3];
%!  endif
%!
%!  direction = [1, 0];
%!endfunction
%!
%!function masrob = massdensefunstate (t, y)
%!  masrob = [1, 0, 0; 0, 1, 0; 0, 0, 0];
%!endfunction
%!
%!function masrob = masssparsefunstate (t, y)
%!  masrob = sparse ([1, 0, 0; 0, 1, 0; 0, 0, 0]);
%!endfunction
%!
%!function masrob = massdensefuntime (t)
%!  masrob = [1, 0, 0; 0, 1, 0; 0, 0, 0];
%!endfunction
%!
%!function masrob = masssparsefuntime (t)
%!  masrob = sparse ([1, 0, 0; 0, 1, 0; 0, 0, 0]);
%!endfunction
%!
%!function jac = jacfundense (t, y)
%!  jac = [-0.04,           1e4*y(3),  1e4*y(2);
%!          0.04, -1e4*y(3)-6e7*y(2), -1e4*y(2);
%!             1,                  1,         1];
%!endfunction
%!
%!function jac = jacfunsparse (t, y)
%!  jac = sparse ([-0.04,           1e4*y(3),  1e4*y(2);
%!                  0.04, -1e4*y(3)-6e7*y(2), -1e4*y(2);
%!                     1,                  1,         1]);
%!endfunction

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", [1, 0, 0; 0, 1, 0; 0, 0, 0]);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", sparse ([1, 0, 0; 0, 1, 0; 0, 0, 0]));
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @massdensefunstate);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @masssparsefunstate);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", "massdensefuntime");
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", [1, 0, 0; 0, 1, 0; 0, 0, 0],
%!               "Jacobian", "jacfundense");
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", sparse ([1, 0, 0; 0, 1, 0; 0, 0, 0]),
%!               "Jacobian", @jacfundense);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! warning ("off", "ode15s:mass_state_dependent_provided", "local");
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @massdensefunstate,
%!               "Jacobian", @jacfundense);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! warning ("off", "ode15s:mass_state_dependent_provided", "local");
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @masssparsefunstate,
%!               "Jacobian", @jacfundense);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @massdensefuntime,
%!               "Jacobian", @jacfundense);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", "masssparsefuntime",
%!               "Jacobian", "jacfundense");
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS_SUNLINSOL_KLU
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", [1, 0, 0; 0, 1, 0; 0, 0, 0],
%!               "Jacobian", @jacfunsparse);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS_SUNLINSOL_KLU
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", sparse ([1, 0, 0; 0, 1, 0; 0, 0, 0]),
%!               "Jacobian", @jacfunsparse);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS_SUNLINSOL_KLU
%! warning ("off", "ode15s:mass_state_dependent_provided", "local");
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @massdensefunstate,
%!               "Jacobian", @jacfunsparse);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS
%! warning ("off", "ode15s:mass_state_dependent_provided", "local");
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @masssparsefunstate,
%!               "Jacobian", @jacfunsparse);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS_SUNLINSOL_KLU
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @massdensefuntime,
%!               "Jacobian", @jacfunsparse);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

%!testif HAVE_SUNDIALS_SUNLINSOL_KLU
%! opt = odeset ("MStateDependence", "none",
%!               "Mass", @masssparsefuntime,
%!               "Jacobian", @jacfunsparse);
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert ([t(end), y(end,:)], frefrob, 1e-3);

## Jacobian as const matrix
%!testif HAVE_SUNDIALS
%! opt = odeset ("RelTol", 1e-4, "AbsTol", 1e-5,
%!               "Jacobian", [98, 198; -99, -199]);
%! [t, y] = ode15s (@(t, y)[98, 198; -99, -199] * (y - [1; 0]),
%!                 [0, 5], [2; 0], opt);
%! y1xct = @(t) 2 * exp (-t) - exp (-100 * t) + 1;
%! y2xct = @(t) - exp (-t) + exp (-100 * t);
%! assert ([y1xct(t), y2xct(t)], y, 1e-3);

## two output arguments
%!testif HAVE_SUNDIALS
%! [t, y] = ode15s (@fpol, [0, 2], [2, 0]);
%! assert ([t(end), y(end,:)], [2, fref], 1e-2);

## anonymous function instead of real function
%!testif HAVE_SUNDIALS
%! fvdb = @(t,y) [y(2); (1 - y(1)^2) * y(2) - y(1)];
%! [t, y] = ode15s (fvdb, [0, 2], [2, 0]);
%! assert ([t(end), y(end,:)], [2, fref], 1e-2);

## Solve another anonymous function below zero
%!testif HAVE_SUNDIALS
%! ref = [0, 14.77810590694212];
%! [t, y] = ode15s (@(t,y) y, [-2, 0], 2);
%! assert ([t(end), y(end,:)], ref, 5e-2);

## InitialStep option
%!testif HAVE_SUNDIALS
%! opt = odeset ("InitialStep", 1e-8);
%! [t, y] = ode15s (@fpol, [0, 0.2], [2, 0], opt);
%! assert (t(2)-t(1), 1e-8, 1e-9);

## MaxStep option
%!testif HAVE_SUNDIALS
%! opt = odeset ("MaxStep", 1e-3);
%! sol = ode15s (@fpol, [0, 0.2], [2, 0], opt);
%! assert (sol.x(5)-sol.x(4), 1e-3, 1e-3);

## Solve in backward direction starting at t=0
%!testif HAVE_SUNDIALS
%! ref = [-1.205364552835178; 0.951542399860817];
%! sol = ode15s (@fpol, [0 -2], [2, 0]);
%! assert ([sol.x(end); sol.y(:,end)], [-2; ref], 5e-3);

## Solve in backward direction starting at t=2
%!testif HAVE_SUNDIALS
%! ref = [-1.205364552835178; 0.951542399860817];
%! sol = ode15s (@fpol, [2, 0 -2], fref);
%! assert ([sol.x(end); sol.y(:,end)], [-2; ref], 3e-2);

## Solve another anonymous function in backward direction
%!testif HAVE_SUNDIALS
%! ref = [-1; 0.367879437558975];
%! sol = ode15s (@(t,y) y, [0 -1], 1);
%! assert ([sol.x(end); sol.y(:,end)], ref, 1e-2);

## Solve another anonymous function below zero
%!testif HAVE_SUNDIALS
%! ref = [0; 14.77810590694212];
%! sol = ode15s (@(t,y) y, [-2, 0], 2);
%! assert ([sol.x(end); sol.y(:,end)], ref, 5e-2);

## Solve in backward direction starting at t=0 with MaxStep option
%!testif HAVE_SUNDIALS
%! ref = [-1.205364552835178; 0.951542399860817];
%! opt = odeset ("MaxStep", 1e-3);
%! sol = ode15s (@fpol, [0 -2], [2, 0], opt);
%! assert (abs (sol.x(8)-sol.x(7)), 1e-3, 1e-3);
%! assert ([sol.x(end); sol.y(:,end)], [-2; ref], 1e-3);

## AbsTol option
%!testif HAVE_SUNDIALS
%! opt = odeset ("AbsTol", 1e-5);
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 4e-3);

## AbsTol and RelTol option
%!testif HAVE_SUNDIALS
%! opt = odeset ("AbsTol", 1e-8, "RelTol", 1e-8);
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 1e-3);

## RelTol option -- higher accuracy
%!testif HAVE_SUNDIALS
%! opt = odeset ("RelTol", 1e-8);
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 1e-4);

## Mass option as function
%!testif HAVE_SUNDIALS
%! opt = odeset ("Mass", @fmas, "MStateDependence", "none");
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 3e-3);

## Mass option as matrix
%!testif HAVE_SUNDIALS
%! opt = odeset ("Mass", eye (2,2), "MStateDependence", "none");
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 3e-3);

## Mass option as sparse matrix
%!testif HAVE_SUNDIALS
%! opt = odeset ("Mass", speye (2), "MStateDependence", "none");
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 3e-3);

## Mass option as function and sparse matrix
%!testif HAVE_SUNDIALS
%! opt = odeset ("Mass", "fmsa", "MStateDependence", "none");
%! sol = ode15s (@fpol, [0, 2], [2, 0], opt);
%! assert ([sol.x(end); sol.y(:,end)], [2, fref].', 3e-3);

## Refine
%!testif HAVE_SUNDIALS
%! opt2 = odeset ("Refine", 3, "Mass", @massdensefunstate,
%!                "MStateDependence", "none");
%! opt1 = odeset ("Mass", @massdensefunstate, "MStateDependence", "none");
%! [t, y] = ode15s (@rob, [0, 100], [1; 0; 0], opt1);
%! [t2, y2] = ode15s (@rob, [0, 100], [1; 0; 0], opt2);
%! assert (numel (t2), numel (t) * 3, 3);

## Refine ignored if numel (trange) > 2
%!testif HAVE_SUNDIALS
%! opt2 = odeset ("Refine", 3, "Mass", "massdensefunstate",
%!                "MStateDependence", "none");
%! opt1 = odeset ("Mass", @massdensefunstate, "MStateDependence", "none");
%! [t, y] = ode15s ("rob", [0, 10, 100], [1; 0; 0], opt1);
%! [t2, y2] = ode15s ("rob", [0, 10, 100], [1; 0; 0], opt2);
%! assert (numel (t2), numel (t));

## Events option add further elements in sol
%!testif HAVE_SUNDIALS
%! opt = odeset ("Events", @feve, "Mass", @massdensefunstate,
%!               "MStateDependence", "none");
%! sol = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert (isfield (sol, "ie"));
%! assert (sol.ie, [1, 2]);
%! assert (isfield (sol, "xe"));
%! assert (isfield (sol, "ye"));
%! assert (sol.x(end), 10, 1);

## Events option, five output arguments
%!testif HAVE_SUNDIALS
%! opt = odeset ("Events", @feve, "Mass", @massdensefunstate,
%!               "MStateDependence", "none");
%! [t, y, te, ye, ie] = ode15s (@rob, [0, 100], [1; 0; 0], opt);
%! assert (t(end), 10, 1);
%! assert (te, [10; 10], 0.5);
%! assert (ie, [1; 2]);

## Initial solution as row vector
%!testif HAVE_SUNDIALS
%! A = zeros (2);
%! [tout, yout] = ode15s (@(t, y) A * y, [0, 1], [1, 1]);
%! assert (yout, ones (18, 2));

%!testif HAVE_SUNDIALS
%! A = zeros (2);
%! fail ("ode15s (@(t, y) A * y, [0, 1], eye (2))",
%!       "ode15s: Y0 must be a numeric vector");
