Derivative of anonymous functions

Versione 2.0.0 (5,22 KB) da Emanuele Bianco
This function takes as input a function F (either symbolic or anonymous) and computes the Jacobian of F
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Aggiornato 2 ago 2022

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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

Cita come

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

Compatibilità della release di MATLAB
Creato con R2021b
Compatibile con qualsiasi release
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Versione Pubblicato Note della release
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