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Symbolic function, gradient and divergence

version 1.0.3 (78.2 KB) by Andrea La Spina
Easy definition of arbitrarily sized functions and effective computation of gradient and divergence operators.

17 Downloads

Updated 13 Feb 2020

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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.

Cite As

Andrea La Spina (2020). Symbolic function, gradient and divergence (https://www.mathworks.com/matlabcentral/fileexchange/74251-symbolic-function-gradient-and-divergence), MATLAB Central File Exchange. Retrieved .

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Updates

1.0.3

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1.0.1

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MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux