Mercurial > hg > octave-nkf
view scripts/ode/private/kahan.m @ 20798:128414587af2
don't print additional error message in argument list evaluation
* pt-arg-list.cc (tree_argument_list::convert_to_const_vector):
Don't call error for for failed argument evaluation.
author | John W. Eaton <jwe@octave.org> |
---|---|
date | Fri, 09 Oct 2015 16:52:49 -0400 |
parents | eb9e2d187ed2 |
children |
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## Copyright (C) 2013, Roberto Porcu' <roberto.porcu@polimi.it> ## ## 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/>. ## -*- texinfo -*- ## @deftypefn {Function File} {@var{sum} =} kahan (@var{sum}, @var{comp}, @var{temp}) ## @deftypefnx {Function File} {[@var{sum}, @var{comp}] =} kahan (@var{sum}, @var{comp}, @var{temp}) ## ## This function is the implementation of the Kahan summation algorithm, ## also known as compensated summation. ## ## It significantly reduces the numerical error in the total obtained by adding ## a sequence of finite precision floating point numbers, compared to the ## obvious approach. For more details ## see @url{http://en.wikipedia.org/wiki/Kahan_summation_algorithm}. ## This function is called in @command{integrate_adaptive} and in ## @command{integrate_const} to better catch equality comparisons. ## ## The first input argument is the variable that will contain the summation, ## so that is also returned as first output argument in order to reuse it in ## next calls to kahan function. ## ## The second input argument contains the compensation term and it is returned ## as second output argument so that it can be reused in the next calls of the ## same computation. ## ## The third input argument is the variable that contains the term to be added ## to @var{Sum}. ## @end deftypefn function [Sum, comp] = kahan (Sum, comp, term) y = term - comp; t = Sum + y; comp = (t - Sum) - y; Sum = t; endfunction