Composite Simpson's rule for irregularly spaced data
Version 1.0.4 (41.8 KB) by
Marko
Composite Simpson's rule for irregularly spaced data based on a parabolic polynomial fit.
From the Newton-Cotes family of numeric integration the Simpson's rule is a popular method to numerically evaluate the definite integral of a mathematical function f(x).
This implementation work with regularly and irregularly spaced data. For irregularly spaced data, matlabs polnomial fit function polyfit is used.
% Example:
% y = [0 1 2 4 5]
% I = simpsonQuad(y)
%
% y = [0 1 2 3 4]
% x = [4 6 8 10 12]
% I = simpsonQuad(x,y)
%
% y = [0 2 3 4 5]
% x = [4 6 9 10 13]
% I = simpsonQuad(x,y)
Cite As
Josic (2023). simpsonQuad (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved July 1, 2023.
MATLAB Release Compatibility
Created with
R2023a
Compatible with any release
Platform Compatibility
Windows macOS LinuxTags
Acknowledgements
Inspired by: simpsonQuadrature
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.4 | corrected description |
||
| 1.0.3 | * updated the plotting function and added a plot as comparison with trapz
|
||
| 1.0.2 | upload the new version |
||
| 1.0.1 | correction in the description |
||
| 1.0.0 |
