Hello Amit,
The line of code you have given is not clear. Could you give a more
concrete example of a functionality that you're expecting ?
If you want to calculate the hessian of a function, Sympy has a
hessian function which takes in a function and a list of variables of
the function, and return
Hello Sherjil,
Sorry for the misunderstanding, it isn't a line of code but latex math
expression (or at least supposed to be :-))
An example (in latex syntax) would be:
\partial(X^{-1}) = - X^{-1}(\partial X ) X^{-1}
Thanks,
Amit
On Jun 30, 9:21 am, SherjilOzair wrote:
> Hello Amit,
> The line
Hello Aaron,
Thanks for pointing out this thread (I did search the group but missed
it):
http://groups.google.com/group/sympy/browse_thread/thread/7a4ab2af17b3c10d/90ba1a6bebb59eb9
I am talking about a similar idea but I am looking also for calculus
operations like differentiation.
Thanks,
Amit
I think he wants to do things with symbolic matrices, like what
Matthew proposed in another thread. Differentiating matrices
symbolically is indeed tricky because you have to be careful about
commutativity.
Aaron Meurer
On Thu, Jun 30, 2011 at 12:21 AM, SherjilOzair wrote:
> Hello Amit,
> The l
By the way, if you don't actually need any specific attributes of
matrices other than non-commutativity (and you're assuming everything
is square n x n), you can already do this in SymPy:
In [10]: a, b = symbols('a b', commutative=False)
In [15]: diff(f(a)*g(a), a)
Out[15]:
d d
f(a)
