Symbolic function, gradient and divergence

Easy definition of arbitrarily sized functions and effective computation of gradient and divergence operators.
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Updated 13 Oct 2021

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

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

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Version Published Release Notes
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