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annotate +grid/equidistant.m @ 1037:2d7ba44340d0 feature/burgers1d

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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>
date Fri, 18 Jan 2019 09:02:02 +0100
parents c3378418d49a
children
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c7b2f645101f Added classes and functions for Cartesian and equidistant grids.
Jonatan Werpers <jonatan@werpers.com>
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1 % Creates a cartesian grid of dimension length(m).
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2 % over the doman xlim, ylim, ...
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3 % Examples:
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4 % g = grid.equidistant([mx, my], xlim, ylim)
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5 % g = grid.equidistant([10, 15], {0,1}, {0,2})
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6 function g = equidistant(m, varargin)
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7 if length(m) ~= length(varargin)
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8 error('grid:equidistant:NonMatchingParameters','The number of provided dimensions do not match.')
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9 end
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10
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11 for i = 1:length(m)
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12 if ~iscell(varargin{i}) || numel(varargin{i}) ~= 2
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13 error('grid:equidistant:InvalidLimits','The limits should be cell arrays with 2 elements.');
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14 end
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16 if varargin{i}{1} > varargin{i}{2}
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17 error('grid:equidistant:InvalidLimits','The elements of the limit must be increasing.');
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18 end
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19 end
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21 X = {};
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22 h = [];
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23 for i = 1:length(m)
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24 [X{i}, h(i)] = util.get_grid(varargin{i}{:},m(i));
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25 end
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27 g = grid.Cartesian(X{:});
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28 g.h = h;
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29 end