Symbolic function, gradient and divergence

Version 2.1 (80 KB) von Andrea La Spina
Easy definition of arbitrarily sized functions and effective computation of gradient and divergence operators.
5.0
(1)
435 Downloads
Aktualisiert 13 Okt 2021

Lizenz anzeigen

The function "mysym.m" allows an easy definition of a n x m symbolic vectorial function of k variables.
Example: u=mysym('u',[2,1],[x,y])
The function "mygradient.m" allows an easy computation of the gradient.
Example: grad_u=mygradient(u,[x,y])
The function "mydivergence.m" allows an easy computation of the divergence.
Example: div_u=mydivergence(u,[x,y])
(x and y must be defined as symbolic variables)
The Live Script "examples.mlx" presents a series of useful examples.
If you like the functions, please give feedback.

Zitieren als

Andrea La Spina (2024). Symbolic function, gradient and divergence (https://www.mathworks.com/matlabcentral/fileexchange/74251-symbolic-function-gradient-and-divergence), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
2.1

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1.1

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1.0.3

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1.0.2

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1.0.1

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1.0.0