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.
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 LinuxTag
Riconoscimenti
Ispirato da: simpsonQuadrature
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Versione | Pubblicato | Note della release | |
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1.0.4 | corrected description |
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1.0.3 | * updated the plotting function and added a plot as comparison with trapz
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1.0.2 | upload the new version |
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1.0.1 | correction in the description |
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1.0.0 |