I got better results using numpy to calculate the inverse of A, casting the
result inside a sympy matrix, and then performing the product.
Using joblib you can easily implement a parallel solution to do the product
between matrix and vector
I hope this helps! Bye!
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You received this message
Hi,
I'm working on an extension for sympy.diffgeom. Since expressions
often get very complicated in differential geometry, it sometimes
makes sense to e.g. simply keep a tensor as the indexed symbol it
is, sometimes one inserts its actual components' values (and
tries to simplify further). Put
doit is a pretty standard way to implement this pattern. You can make
it work by implementing _eval_doit. expand is also OK (just implement
_eval_expand_hint for whatever hint name makes sense, see the
docstring of expand().
Aaron Meurer
On Wed, Sep 10, 2014 at 9:52 AM, Simon Hirscher
We need to make sympy.diffgeom and sympy.tensor.tensor work together.
Unfortunately the way is still long.
Basically, sympy.tensor.tensor is meant to represent tensors by a symbol.
It currently supports tensor polynomials in the abstract index notation,
but I am (slowly) working on expressing
My (arbitrary) milestone deadline for the 0.7.6 release is
approaching. It's time to start clearing out
https://github.com/sympy/sympy/milestones/0.7.6 by either finishing
and merging them or deferring them.
Aaron Meurer
On Wed, Aug 27, 2014 at 12:03 PM, Sergey B Kirpichev
skirpic...@gmail.com
I have been playing with SymPy and IPython Notebook and thought it
would be useful to be able to explicitly perform some of the
operations that are in the toolset taught in a high-school algebra
class.
This would be things like
- Adding the same thing to both sides of an equation.
-
