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 > <https://github.com/sympy/sympy/wiki/GSoC-2019-Ideas> 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. > > > > > -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/1e2a0dba-229c-4af0-8e65-d0b39da8d783%40googlegroups.com.
