1 %# Copyright (C) 2007-2012, Thomas Treichl <treichl@users.sourceforge.net>
2 %# OdePkg - A package for solving ordinary differential equations and more
4 %# This program is free software; you can redistribute it and/or modify
5 %# it under the terms of the GNU General Public License as published by
6 %# the Free Software Foundation; either version 2 of the License, or
7 %# (at your option) any later version.
9 %# This program is distributed in the hope that it will be useful,
10 %# but WITHOUT ANY WARRANTY; without even the implied warranty of
11 %# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 %# GNU General Public License for more details.
14 %# You should have received a copy of the GNU General Public License
15 %# along with this program; If not, see <http://www.gnu.org/licenses/>.
18 %# @deftypefn {Function File} {[@var{solution}] =} odepkg_testsuite_hires (@var{@@solver}, @var{reltol})
20 %# If this function is called with two input arguments and the first input argument @var{@@solver} is a function handle describing an OdePkg solver and the second input argument @var{reltol} is a double scalar describing the relative error tolerance then return a cell array @var{solution} with performance informations about the HIRES testsuite of ordinary differential equations after solving (ODE--test).
22 %# Run examples with the command
24 %# demo odepkg_testsuite_hires
27 %# This function has been ported from the "Test Set for IVP solvers" which is developed by the INdAM Bari unit project group "Codes and Test Problems for Differential Equations", coordinator F. Mazzia.
32 function vret = odepkg_testsuite_hires (vhandle, vrtol)
34 if (nargin ~= 2) %# Check number and types of all input arguments
35 help ('odepkg_testsuite_hires');
36 error ('OdePkg:InvalidArgument', ...
37 'Number of input arguments must be exactly two');
38 elseif (~isa (vhandle, 'function_handle') || ~isscalar (vrtol))
42 vret{1} = vhandle; %# The handle for the solver that is used
43 vret{2} = vrtol; %# The value for the realtive tolerance
44 vret{3} = vret{2}; %# The value for the absolute tolerance
45 vret{4} = vret{2} * 10^(-2); %# The value for the first time step
46 %# Write a debug message on the screen, because this testsuite function
47 %# may be called more than once from a loop over all solvers present
48 fprintf (1, ['Testsuite HIRES, testing solver %7s with relative', ...
49 ' tolerance %2.0e\n'], func2str (vret{1}), vrtol); fflush (1);
51 %# Setting the integration algorithms option values
52 vstart = 0.0; %# The point of time when solving is started
53 vstop = 321.8122; %# The point of time when solving is stoped
54 vinit = odepkg_testsuite_hiresinit; %# The initial values
56 vopt = odeset ('Refine', 0, 'RelTol', vret{2}, 'AbsTol', vret{3}, ...
57 'InitialStep', vret{4}, 'Stats', 'on', 'NormControl', 'off', ...
58 'Jacobian', @odepkg_testsuite_hiresjac, 'MaxStep', vstop-vstart);
60 %# Calculate the algorithm, start timer and do solving
61 tic; vsol = feval (vhandle, @odepkg_testsuite_hiresfun, ...
62 [vstart, vstop], vinit, vopt);
63 vret{12} = toc; %# The value for the elapsed time
64 vref = odepkg_testsuite_hiresref; %# Get the reference solution vector
65 if (exist ('OCTAVE_VERSION') ~= 0)
70 vret{5} = odepkg_testsuite_calcmescd (vlst, vref, vret{3}, vret{2});
71 vret{6} = odepkg_testsuite_calcscd (vlst, vref, vret{3}, vret{2});
72 vret{7} = vsol.stats.nsteps + vsol.stats.nfailed; %# The value for all evals
73 vret{8} = vsol.stats.nsteps; %# The value for success evals
74 vret{9} = vsol.stats.nfevals; %# The value for fun calls
75 vret{10} = vsol.stats.npds; %# The value for partial derivations
76 vret{11} = vsol.stats.ndecomps; %# The value for LU decompositions
78 %# Returns the results for the HIRES problem
79 function f = odepkg_testsuite_hiresfun (t, y, varargin)
80 f(1,1) = -1.71 * y(1) + 0.43 * y(2) + 8.32 * y(3) + 0.0007;
81 f(2,1) = 1.71 * y(1) - 8.75 * y(2);
82 f(3,1) = -10.03 * y(3) + 0.43 * y(4) + 0.035 * y(5);
83 f(4,1) = 8.32 * y(2) + 1.71 * y(3) - 1.12 * y(4);
84 f(5,1) = -1.745 * y(5) + 0.43 * (y(6) + y(7));
85 f(6,1) = -280 * y(6) * y(8) + 0.69 * y(4) + 1.71 * y(5) - 0.43 * y(6) + 0.69 * y(7);
86 f(7,1) = 280 * y(6) * y(8) - 1.81 * y(7);
89 %# Returns the INITIAL values for the HIRES problem
90 function vinit = odepkg_testsuite_hiresinit ()
91 vinit = [1, 0, 0, 0, 0, 0, 0, 0.0057];
93 %# Returns the JACOBIAN matrix for the HIRES problem
94 function dfdy = odepkg_testsuite_hiresjac (t, y, varargin)
111 dfdy(6,6) = -280 * y(8) - 0.43;
113 dfdy(6,8) = -280 * y(6);
114 dfdy(7,6) = 280 * y(8);
116 dfdy(7,8) = 280 * y(6);
117 dfdy(8,6) = -280 * y(8);
119 dfdy(8,8) = -280 * y(6);
121 %# Returns the REFERENCE values for the HIRES problem
122 function y = odepkg_testsuite_hiresref ()
123 y(1,1) = 0.73713125733256e-3;
124 y(2,1) = 0.14424857263161e-3;
125 y(3,1) = 0.58887297409675e-4;
126 y(4,1) = 0.11756513432831e-2;
127 y(5,1) = 0.23863561988313e-2;
128 y(6,1) = 0.62389682527427e-2;
129 y(7,1) = 0.28499983951857e-2;
130 y(8,1) = 0.28500016048142e-2;
133 %! vsolver = {@ode23, @ode45, @ode54, @ode78, ...
134 %! @odebda, @oders, @ode2r, @ode5r, @odesx};
135 %! for vcnt=1:length (vsolver)
136 %! vhires{vcnt,1} = odepkg_testsuite_hires (vsolver{vcnt}, 1e-7);
140 %# Local Variables: ***