adaptive

adaptive function evaluation
163 Descargas
Actualizado 25 ene 2017

Ver licencia

'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

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
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