Composite Simpson's rule for irregularly spaced data

Versione 1.0.4 (41,8 KB) da Marko
Composite Simpson's rule for irregularly spaced data based on a parabolic polynomial fit.
13 download
Aggiornato 3 lug 2023

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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)

Cita come

Josic (2023). simpsonQuad (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved July 1, 2023.

Compatibilità della release di MATLAB
Creato con R2023a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
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Ispirato da: simpsonQuadrature

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Versione Pubblicato Note della release
1.0.4

corrected description

1.0.3

* updated the plotting function and added a plot as comparison with trapz
* changed the input arguments from simpsonQuad(y,x) to simpsonQuad(x,y)
* updated the description

1.0.2

upload the new version

1.0.1

correction in the description

1.0.0