Symbolic function, gradient and divergence

Versione 2.1 (80 KB) da Andrea La Spina
Easy definition of arbitrarily sized functions and effective computation of gradient and divergence operators.
5.0
(1)
443 download
Aggiornato 13 ott 2021

Visualizza la licenza

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.

Cita come

Andrea La Spina (2025). Symbolic function, gradient and divergence (https://it.mathworks.com/matlabcentral/fileexchange/74251-symbolic-function-gradient-and-divergence), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2019b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Tag Aggiungi tag

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione Pubblicato Note della release
2.1

.
1.1

.
1.0.3

.
1.0.2

.
1.0.1

.
1.0.0