adaptive

adaptive function evaluation
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Actualizado 25 ene 2017

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'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);

Citar como

Alberto Comin (2024). adaptive (https://www.mathworks.com/matlabcentral/fileexchange/61209-adaptive), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

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Versión Publicado Notas de la versión
1.0.3.0

fixed default settings

1.0.2.0

minor fixes

1.0.1.0

1) new default when called without optional arguments
2) it is now possible to provide a domain range instead of an initial array
3) new key-word argument 'nPoints'
4) now can return domain points and function values as two separate arrays.

1.0.0.0