Mercurial > repos > public > sbplib
view +noname/convergence.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 | 3e1d8051e68e |
children |
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% Reference is either a key or a function handle function [q, e, h, runtime] = convergence(filename, errorFunc, reference, name, order, m, T) default_arg('errorFunc', @scheme.error1d); sf = SolutionFile(filename); % Generate convergence, error, and efficiency plots for each search key with more than one entry. for i = 1:length(m) key.name = name; key.order = order; key.m = m(i); key.T = T; entry = sf.get(key); [e(i),h(i)] = errorForEntry(key, entry, errorFunc, reference,T); runtime(i) = entry.runtime; end q = convergence(e,h); end function [e, h] = errorForEntry(key,entry, errorFunc, reference,T) v_repr = entry.repr; discr = entry.discr; % Get the solution to be compared v = v_repr.v; % Get the reference solution vector if isa(reference,'function_handle'); x = v_repr.grid.points(); v_ref = reference(x,T); else % Downsample the reference solution v_ref = reference.grid.restrictFunc(reference.v, v_repr.grid); end e = errorFunc(discr,v, v_ref); h = discr.h; end