view +parametrization/old/curve_discretise.m @ 1198:2924b3a9b921 feature/d2_compatible

Add OpSet for fully compatible D2Variable, created from regular D2Variable by replacing d1 by first row of D1. Formal reduction by one order of accuracy at the boundary point.
author Martin Almquist <malmquist@stanford.edu>
date Fri, 16 Aug 2019 14:30:28 -0700
parents 81e0ead29431
children
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% Discretises the curve g with the smallest number of points such that all segments
% are shorter than h. If do_plot is true the points of the discretisation and
% the normals of the curve in those points are plotted.
%
%   [t,p,d] = curve_discretise(g,h,do_plot)
%
%   t is a vector of input values to g.
%   p is a cector of points.
%   d are the length of the segments.
function [t,p,d] = curve_discretise(g,h,do_plot)
    default_arg('do_plot',false)

    n = 10;

    [t,p,d] = curve_discretise_n(g,n);

    % ni = 0;
    while any(d>h)
        [t,p,d] = curve_discretise_n(g,n);
        n = ceil(n*d(1)/h);
        % ni = ni+1;
    end

    % nj = 0;
    while all(d<h)
        [t,p,d] = curve_discretise_n(g,n);
        n = n-1;
        % nj = nj+1;
    end
    [t,p,d] = curve_discretise_n(g,n+1);

    % fprintf('ni = %d, nj = %d\n',ni,nj);

    if do_plot
        fprintf('n:%d  max: %f min: %f\n', n, max(d),min(d));
        p = parametrization.map_curve(g,t);
        figure
        show(g,t,h);
    end

end

function [t,p,d] = curve_discretise_n(g,n)
    t = linspace(0,1,n);
    t = equalize_d(g,t);
    d = D(g,t);
    p = parametrization.map_curve(g,t);
end

function d = D(g,t)
    p = parametrization.map_curve(g,t);

    d = zeros(1,length(t)-1);
    for i = 1:length(d)
        d(i) = norm(p(:,i) - p(:,i+1));
    end
end

function t = equalize_d(g,t)
    d = D(g,t);
    v = d-mean(d);
    while any(abs(v)>0.01*mean(d))
        dt = t(2:end)-t(1:end-1);
        t(2:end) = t(2:end) - cumsum(dt.*v./d);

        t = t/t(end);
        d = D(g,t);
        v = d-mean(d);
    end
end


function show(g,t,hh)
    p = parametrization.map_curve(g,t);



    h = parametrization.plot_curve(g);
    h.LineWidth = 2;
    axis equal
    hold on
    h = plot(p(1,:),p(2,:),'.');
    h.Color = [0.8500 0.3250 0.0980];
    h.MarkerSize = 24;
    hold off

    n = parametrization.curve_normals(g,t);
    hold on
    for  i = 1:length(t)
        p0 = p(:,i);
        p1 = p0 + hh*n(:,i);
        l = [p0, p1];
        h = plot(l(1,:),l(2,:));
        h.Color = [0.8500 0.3250 0.0980];
    end

end