'adaptive.m' allows to efficiently sample a function using a reduced number of points. It works by iteratively adding new points where needed. It is especially useful for functions which are computationally intensive (e.g. involve solving a differential equation).
Examples:
% using default options
[xi, yi] = adaptive(@(x) sin(x)*sin(2*x), [-20,20]);
% explicitly providing initial array an refinement option
f = @(x) exp(-x.^2/4).*sin(3*x);
[xi,yi] = adaptive(f, [ -5:5], 'minAngle',0.8*pi);
Alberto Comin (2019). adaptive (https://www.mathworks.com/matlabcentral/fileexchange/61209-adaptive), MATLAB Central File Exchange. Retrieved .
1.0.3.0 | fixed default settings |
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1.0.2.0 | minor fixes |
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1.0.1.0 | 1) new default when called without optional arguments
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Karen Harper (view profile)
Is there a multi-dimensional version of this?
Lei (view profile)
If there going to be a 3D version?