Mercurial > repos > public > sbplib
view plotConvergenceFit.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 | 0ef8965dd745 |
children |
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% Draws a line in a loglog plot with slope `slope` fitted to the data in `x` % and `y`. `xlength` scales how much of the interval [x(1) x(end)] is coverd % by the line. `offset` is a multiplicative offset to where the line is drawn % relative to the data. function hand = plotConvergenceFit(slope, x, y, xlength, offset) default_arg('xlength', 0.8) default_arg('offset', 1); % Optimise for log(y) = p*log(x) + q p = slope; logx = log(x); logy = log(y); N = length(logx); q = 1/N*sum(logy-p*logx); logxlength = xlength * abs(logx(end)-logx(1)); logxends = (logx(1)+logx(end))/2 + [-logxlength/2, logxlength/2]; xends = exp(logxends); yends = exp(q)*xends.^p; hand = line(xends, yends); hand.Color = Color.black; hand.LineStyle = '--'; hand.LineWidth = 2; end % function hand = plotConvergenceFit(slope, pos, width) % x0 = pos(1); % y0 = pos(2); % x = [x0*10^-(width/2) x0*10^(width/2)]; % y = x.^slope * x0^-slope * y0; % hand = line(x,y); % hand.Color = Color.black; % hand.LineStyle = '--'; % hand.LineWidth = 2; % end