Derivative of anonymous functions

Version 2.0.0 (5,22 KB) von Emanuele Bianco
This function takes as input a function F (either symbolic or anonymous) and computes the Jacobian of F
5.0
(1)
30 Downloads
Aktualisiert 2 Aug 2022

Lizenz anzeigen

Given as input a column vector of symbolic or anonymous functions (1x1, 2x1, ...), "Jac" will give as output the Jacobian of the vector inserted.
The output format will be the same as the input format (anonymous => anonymous / sym => sym).
If the input is a vector of anonymous functions, the Jacobian will be a vector/matrix of anonymous vectorized functions (the ' . ' is inserted before the following operations ' / ' ' * ' ' ^ ').
This function uses the symbolic Math Toolbox.
Examples and more informations are inserted in the comment section of "Jac";
type in the command window:
>> help Jac

Zitieren als

Emanuele Bianco (2024). Derivative of anonymous functions (https://www.mathworks.com/matlabcentral/fileexchange/112510-derivative-of-anonymous-functions), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2021b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Version Veröffentlicht Versionshinweise
2.0.0

"Jac 2.0.0" is an improved version of "Jac 1.0.0" with more functionalities.
To get more info download the function and read the comment section
1.0.0