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I have used Z3 a bit. As Shubham noted, I think an SMT solver is what
is needed to push the assumptions system to the next level. The satask
solver is already somewhat a SMT system, but because it has
performance issues because in part because it is not a true SMT solver
(it doesn't incorporate the theories into the solver itself).
It may also be interesting to play with using Z3 as an optional
backend to SymPy.
Aaron Meurer
On Mon, May 6, 2019 at 7:11 AM SHUBHAM JHA <skjh...@gmail.com> wrote:
>
> Hello Chris,
>
> Z3 is a powerful SMT solver by Microsoft and also has a Python wrapper that is used here. As suggested by Aaron here, I have proposed an SMT solver in my GSoC project which will be based on open source projects like Z3. I have already started looking into it and would love to implement such in SymPy.
>
> Regards,
> Shubham
>
> On Mon, May 6, 2019 at 11:02 AM Chris Smith <smi...@gmail.com> wrote:
>>
>> I just learned about Z3 which is something that could help with the SymPy assumption system or solving relational system (perhaps multivariate) as someone was trying to do here. It has an MIT license.
>>
>> /c
>>
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