grad(vec) should return a matrix (like the Jacobian
https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant)
On Mon, Apr 27, 2020 at 4:45 PM Aaron Meurer wrote:
> SymPy does support taking derivatives with respect to matrices, via
> diff(). Is this what you are looking for?
>
> Aaron
SymPy does support taking derivatives with respect to matrices, via
diff(). Is this what you are looking for?
Aaron Meurer
On Mon, Apr 27, 2020 at 2:09 PM Alexander Lindsay
wrote:
>
> On Sat, Apr 25, 2020 at 6:39 AM S.Y. Lee wrote:
>>
>> SymPy defines gradient only for scalar valued function.
On Sat, Apr 25, 2020 at 6:39 AM S.Y. Lee wrote:
> SymPy defines gradient only for scalar valued function.
> Do you mean that gradient of vector valued function should return other
> stuff like jacobian?
>
I would like the gradient of a vector valued function to return the
Jacobian yes, or the
You could check a module that I wrote in Continuum Mechanics
https://continuum-mechanics.readthedocs.io/en/latest/
It already has the gradient of a vector for orthogonal coordinates.
On Friday, April 24, 2020 at 1:44:15 PM UTC-5, Alexander Lindsay wrote:
>
> I've been using the capabilities in
SymPy defines gradient only for scalar valued function.
Do you mean that gradient of vector valued function should return other
stuff like jacobian?
On Saturday, April 25, 2020 at 3:44:15 AM UTC+9, Alexander Lindsay wrote:
>
> I've been using the capabilities in sympy.vector for generating MMS
