Mercurial > octave-libgccjit
view libinterp/corefcn/daspk.cc @ 18961:52e01aa1fe8b
Overhaul FLTK pan, rotate, zoom
* graphics.in.h: add axes properties pan, rotate3d, mouse_wheel_zoom
and custom set_pan which disables rotate3d.
* graphics.cc: add custom set_rotate3d and link with pan property.
Disable rotate3d for 2D plots.
* __init_fltk__.cc: replace gui_mode and mouse_wheel_zoom with axes
properties pan, rotate3d and mouse_wheel_zoom. Disable pan for legends,
move them instead.
* __add_default_menu__.m: Add new menu entries for new pan and zoom modes.
* findall.m: Update test for added uimenus.
Each axes now has its own properties for interactive GUI control of pan,
rotate3d and mouse_wheel_zoom. Now it's possible to have several figures
and set pan for the 2D plot in figure x and rotate3d for the 3D plot in
figure y. There are two new pan modes: "Pan x only" and "Pan y only".
The toolbar buttons "P" and "R" set pan and rotate3d for the last clicked axes
object or the object below the center of the canvas if none was clicked yet.
The legend can now be moved with the mouse.
author | Andreas Weber <andy.weber.aw@gmail.com> |
---|---|
date | Sun, 27 Jul 2014 22:31:14 +0200 |
parents | 175b392e91fe |
children |
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/* Copyright (C) 1996-2013 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 <string> #include <iomanip> #include <iostream> #include "DASPK.h" #include "defun.h" #include "error.h" #include "gripes.h" #include "oct-obj.h" #include "ov-fcn.h" #include "ov-cell.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, octave_idx_type& ires) { ColumnVector retval; assert (x.capacity () == xdot.capacity ()); octave_value_list args; args(2) = t; args(1) = xdot; args(0) = x; 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; assert (x.capacity () == xdot.capacity ()); octave_value_list args; args(3) = cj; args(2) = t; args(1) = xdot; args(0) = x; 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() \ return retval #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 (daspk, args, nargout, "-*- texinfo -*-\n\ @deftypefn {Built-in 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\ $$ 0 = f (x, \\dot{x}, t) $$\n\ with\n\ $$ x(t_0) = x_0, \\dot{x}(t_0) = \\dot{x}_0 $$\n\ @end tex\n\ @ifnottex\n\ \n\ @example\n\ 0 = f (x, xdot, t)\n\ @end example\n\ \n\ @noindent\n\ with\n\ \n\ @example\n\ x(t_0) = x_0, xdot(t_0) = xdot_0\n\ @end example\n\ \n\ @end ifnottex\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, inline, or function handle\n\ that names the function @math{f} to call to compute the vector of\n\ residuals for the set of equations. 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 or a two-element cell array\n\ of strings, inline functions, or function handles, the first element names\n\ the function @math{f} described above, and the second element names a\n\ 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\ @ifnottex\n\ \n\ @example\n\ @group\n\ df df\n\ jac = -- + c ------\n\ dx d xdot\n\ @end group\n\ @end example\n\ \n\ @end ifnottex\n\ \n\ The modified Jacobian function must have the form\n\ \n\ @example\n\ @group\n\ \n\ @var{jac} = j (@var{x}, @var{xdot}, @var{t}, @var{c})\n\ \n\ @end group\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\ @seealso{dassl}\n\ @end deftypefn") { octave_value_list retval; warned_fcn_imaginary = false; warned_jac_imaginary = false; unwind_protect frame; frame.protect_var (call_depth); call_depth++; if (call_depth > 1) DASPK_ABORT1 ("invalid recursive call"); int nargin = args.length (); if (nargin > 3 && nargin < 6) { std::string fcn_name, fname, jac_name, jname; daspk_fcn = 0; daspk_jac = 0; octave_value f_arg = args(0); if (f_arg.is_cell ()) { Cell c = f_arg.cell_value (); if (c.length () == 1) f_arg = c(0); else if (c.length () == 2) { if (c(0).is_function_handle () || c(0).is_inline_function ()) daspk_fcn = c(0).function_value (); else { fcn_name = unique_symbol_name ("__daspk_fcn__"); fname = "function y = "; fname.append (fcn_name); fname.append (" (x, xdot, t) y = "); daspk_fcn = extract_function (c(0), "daspk", fcn_name, fname, "; endfunction"); } if (daspk_fcn) { if (c(1).is_function_handle () || c(1).is_inline_function ()) daspk_jac = c(1).function_value (); else { jac_name = unique_symbol_name ("__daspk_jac__"); jname = "function jac = "; jname.append (jac_name); jname.append (" (x, xdot, t, cj) jac = "); daspk_jac = extract_function (c(1), "daspk", jac_name, jname, "; endfunction"); if (!daspk_jac) { if (fcn_name.length ()) clear_function (fcn_name); daspk_fcn = 0; } } } } else DASPK_ABORT1 ("incorrect number of elements in cell array"); } if (!daspk_fcn && ! f_arg.is_cell ()) { if (f_arg.is_function_handle () || f_arg.is_inline_function ()) daspk_fcn = f_arg.function_value (); else { switch (f_arg.rows ()) { case 1: do { fcn_name = unique_symbol_name ("__daspk_fcn__"); fname = "function y = "; fname.append (fcn_name); fname.append (" (x, xdot, t) y = "); daspk_fcn = extract_function (f_arg, "daspk", fcn_name, fname, "; endfunction"); } while (0); break; case 2: { string_vector tmp = f_arg.all_strings (); if (! error_state) { fcn_name = unique_symbol_name ("__daspk_fcn__"); fname = "function y = "; fname.append (fcn_name); fname.append (" (x, xdot, t) y = "); daspk_fcn = extract_function (tmp(0), "daspk", fcn_name, fname, "; endfunction"); if (daspk_fcn) { jac_name = unique_symbol_name ("__daspk_jac__"); jname = "function jac = "; jname.append (jac_name); jname.append (" (x, xdot, t, cj) jac = "); daspk_jac = extract_function (tmp(1), "daspk", jac_name, jname, "; endfunction"); if (!daspk_jac) { if (fcn_name.length ()) clear_function (fcn_name); 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 (fcn_name.length ()) clear_function (fcn_name); if (jac_name.length ()) clear_function (jac_name); 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 (); return retval; }