Greetings
I would like to work this summer extending series expansion so as to
improve rs_series,so that SymPy can use it as default series expansion in
SymPy.I also want to work on formal power series and on limits.Below,I have
summarized what I want to do.
*Proposal:*
1)* Improve
How in depth do you intend to go with each of these? I'm not sure
about the others but for elliptic curves at least one could
potentially spend a whole summer just on it.
Aaron Meurer
On Tue, Mar 12, 2019 at 1:11 PM Aditya Gulati
wrote:
>
> Thank you for your remarks and clarification. I
Thank you for your remarks and clarification. I revised my plans to better
fit the educational goals. They are as follows,
1. Add S-Boxes (Substitution boxes) and P-Boxes (Permutation boxes) as
they form the basis of nearly all block ciphers. Maybe add a DES function
as its
Thanks for the info Jason Moore and Vishesh Mangla.
I analyzed the mechanics benchmarks. Many of the commits which are
increasing the computation time are related to ode, printing , matrices.
I tried to find to find substitute for them. I think LU Decompositon is
used in lagrange.py whose time
Hi Aaron,
thanks a lot for the quick reply and help.
This is exactly what I was looking for.
And good to see that there might be a general interest in having this kind
of functionality!
Cheers,
Torsten
On Monday, 11 March 2019 20:17:10 UTC+1, Aaron Meurer wrote:
>
> I don't think that exists
Hi guys,
my name is Abhinav sagar. I’m from India .
I’m a mechanical engineering student at VIT Vellore,
Years of programming with python: 3 years.
Previous projects: I have done plenty of projects with python and
implemented a lot of famous algorithms such as: Kosaraju Two Pass Algorithm
As I noted in #16162, it was educational purposes that drove the addition
of this module in the first place so I mostly agree that additions should
be few.
On Monday, March 11, 2019 at 7:18:34 PM UTC-5, Aaron Meurer wrote:
>
> Maybe others will disagree with me, but I'd rather see things that
@GYeyosi and I have been working on a syntax for creating diagonal/banded
matrices which has the following enhancments:
Here is a reference using current syntax
>>> diag(Matrix([1, 2]), 3)
Matrix([
[1, 0],
[2, 0],
[0, 3]])
Changes include
1. an empty dictionary item, {}, is a directive to
