Mercurial > repos > public > sbplib
view +grid/equidistantCurvilinear.m @ 1037:2d7ba44340d0 feature/burgers1d
Pass scheme specific parameters as cell array. This will enabale constructDiffOps to be more general. In addition, allow for schemes returning function handles as diffOps, which is currently how non-linear schemes such as Burgers1d are implemented.
author | Vidar Stiernström <vidar.stiernstrom@it.uu.se> |
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date | Fri, 18 Jan 2019 09:02:02 +0100 |
parents | 9eff7b58c5f7 |
children |
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% Creates a curvilinear grid of dimension length(m). % over the logical domain xi_lim, eta_lim, ... % If all limits are ommited they are set to {0,1}. % Examples: % g = grid.equidistantCurvilinear(mapping, [m_xi, m_eta]) % g = grid.equidistantCurvilinear(mapping, [m_xi, m_eta], xi_lim, eta_lim) % g = grid.equidistantCurvilinear(mapping, [10, 15], {0,1}, {0,1}) function g = equidistantCurvilinear(mapping, m, varargin) if isempty(varargin) varargin = repmat({{0,1}}, [1 length(m)]); end if length(m) ~= length(varargin) error('grid:equidistant:NonMatchingParameters','The number of provided dimensions do not match.') end for i = 1:length(m) if ~iscell(varargin{i}) || numel(varargin{i}) ~= 2 error('grid:equidistant:InvalidLimits','The limits should be cell arrays with 2 elements.'); end if varargin{i}{1} > varargin{i}{2} error('grid:equidistant:InvalidLimits','The elements of the limit must be increasing.'); end end X = {}; h = []; for i = 1:length(m) [X{i}, h(i)] = util.get_grid(varargin{i}{:},m(i)); end g = grid.Curvilinear(mapping, X{:}); g.logic.h = h; end