Symbolic function, gradient and divergence
Version 2.1 (80 KB) by
Andrea La Spina
Easy definition of arbitrarily sized functions and effective computation of gradient and divergence operators.
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 LinuxCategories
Find more on Calculus in Help Center and MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
2.1 | . |
|
|
1.1 | . |
|
|
1.0.3 | . |
|
|
1.0.2 | . |
|
|
1.0.1 | . |
|
|
1.0.0 |
|