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>
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