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annotate convergencePlot.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 38446922c32a
children
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1 function hand = convergencePlot(orders, h, e)
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2 N = length(orders);
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3
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4 fh = figure();
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5 ah = axes();
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6 ah.XScale = 'log';
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7 ah.YScale = 'log';
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8 hold on
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9 ph = {};
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10 phc = {};
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11 legends = {};
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12 for i = 1:N
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13 ph{i} = loglog(h{i}, e{i});
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14 phc{i} = plotConvergenceFit(orders{i}, h{i}, e{i});
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15
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16 ph{i}.LineStyle = 'none';
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17 ph{i}.Marker = Color.solidMarkers{i};
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18 ph{i}.MarkerSize = 12;
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19 ph{i}.Color = Color.colors{i};
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20 ph{i}.MarkerFaceColor = Color.colors{i};
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21
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22 legends{i} = sprintf('$o = %d$', orders{i});
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23 end
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24 hold off
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25
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26 lh = legend([ph{:}], legends);
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27 lh.Interpreter = 'latex';
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28 lh.Location = 'SouthEast';
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29
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30 for i = 1:N
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31 uistack(phc{i}, 'bottom');
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32 end
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33
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34 xlabel('$h$', 'interpreter', 'latex')
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35 ylabel('Error', 'interpreter', 'latex')
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36
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37 % xlim([0.7e-2, 1e-1])
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38 % ylim([3e-5, 4])
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39
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40 grid on
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41
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42 ah = gca();
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43 ah.TickLabelInterpreter = 'latex';
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44 setFontSize(fh);
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45
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46 % if savePngs
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47 % savepng(fh, 'fig/conv/conv',600)
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48 % end
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49
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50 hand = struct();
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51 hand.fig = fh;
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52 hand.data = ph;
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53 hand.fits = phc;
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54 hand.legend = lh;
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55 end