I don't see any connection between the original post and your reply but...

My understanding is that the Coppersmith Winograd algorithm is not
really used anywhere:
https://en.wikipedia.org/wiki/Galactic_algorithm

I'm not sure if that is the same algorithm. The paper you cite looks
like an earlier work.

On Thu, 30 Jan 2020 at 21:12, S.Y. Lee <[email protected]> wrote:
>
> This looks like an old topic, but I stumbled across the Coppersmith-Winograd 
> algorithm so I'm going to reply over this
> https://www.sciencedirect.com/science/article/pii/S0747717108800132
> it was quite difficult to understand the paper, but I'd suspect that the 
> coppersmith algorithm is about 'approximating' the matrix product rather than 
> computing the exact values.
> If that is the case, it won't be interesting topic outside of numeric 
> computations.
>
> I wonder if anyone familiar with the topic can clarify that the algorithm is 
> approximate.
>
> On Sunday, March 10, 2019 at 5:14:32 PM UTC+9, Shiksha Rawat wrote:
>>
>> Hello,
>>
>> I am Shiksha , a second-year undergrad from India. I have been contributing 
>> to Sympy for more than a month now. While going through Gsoc Ideas page, I 
>> found Efficient Equation of Motion Generation with Python  interesting.I had 
>> a subject on engineering mechanics in college and I would be pleased if I 
>> get a chance to work on it.
>>
>> After going through the documentation I observed that functions are 
>> implemented to find kinetic energy and potential energy, but there is no 
>> function for total energy. Also kinetic energy is returned as a sum of 
>> translational and rotational kinetic energy, what if we only want to 
>> calculate translational kinetic energy or rotational kinetic energy.
>>
>> Since it is mentioned in the status of that idea that no work is done so far 
>> I am not sure where should I start from.
>>
>> I would love to hear from Jason Moore as he is more familiar with the topic.
>>
>> Links to the issues which I have solved(though not related to current idea):
>> https://github.com/sympy/sympy/pull/15842
>> https://github.com/sympy/sympy/pull/15901
>>
>> Thanks.
>>
>>
>>
>>
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