'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);
引用格式
Alberto Comin (2024). adaptive (https://www.mathworks.com/matlabcentral/fileexchange/61209-adaptive), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filter Design > Adaptive Filters >
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!版本 | 已发布 | 发行说明 | |
---|---|---|---|
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
|
||
1.0.0.0 |