Composite Simpson's rule for irregularly spaced data
Versión 1.0.4 (41,8 KB) por
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)
Citar como
Josic (2023). simpsonQuad (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved July 1, 2023.
Compatibilidad con la versión de MATLAB
Se creó con
R2023a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Agradecimientos
Inspirado por: simpsonQuadrature
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Versión | Publicado | Notas de la versión | |
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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 |