Am 28.02.2012 06:41, schrieb Ondřej Čertík:
Hi Vinzenz,
On Mon, Feb 27, 2012 at 4:27 PM, Vinzenz Bargsten<[email protected]> wrote:
[...]
Thank you very much. I think I get the point, but I will need some time to
implement it.
If this is working, I can finally get rid of Mathematica and the complete
modeling procedure as well as the required model transformations
for a 7-axes robot (Kuka LWR) are carried out by sympy.
That'd be really cool. Yes, the trigonometric simplification is pretty hard.
Besides that, how is SymPy doing otherwise in terms of speed compared
to Mathematica for your problem?
Ondrej
Hi Ondrej,
your question is not easy to answer. It depends on the actual task and
how you implement it / the algorithm. The simplification problem is an
example: Using the expand()-replace()-solution is probably slower
compared to Mathematica's Simplify[], but using the monomial-based
solution may be faster.
On average, I would say sympy is at least as fast as Mathematica for my
application.
The advantages of sympy in my eyes compared to Mathematica are that
sympy is deterministic and you get error messages and the messages point
to the problem. Besides the math functions (in many cases superior or
unique) it has many convenient functions (such as the printing functions
to generate c-code of your expressions) and one can use all other python
functions. -- and sympy is free ;)
Regards,
Vinzenz
--
You received this message because you are subscribed to the Google Groups
"sympy" group.
To post to this group, send email to [email protected].
To unsubscribe from this group, send email to
[email protected].
For more options, visit this group at
http://groups.google.com/group/sympy?hl=en.
