Hi,
Some systems of ODEs are implemented, so therefore some coupled ODEs should be
handled. Support was implemented as part of a GSoC 2014 project that I helped
mentor. There are definitely some bugs and work stalled on some of the
non-linear systems because of bugs in the single ODE solver. Ov
I'm not sure if coupled ODEs are implemented yet but the easiest way
to tell is to try dsolve() on one (or classify_ode()) and see if it
works.
Aaron Meurer
On Sat, Sep 12, 2015 at 11:21 AM, Justin wrote:
> How about coupled ODEs?
>
> On Saturday, September 12, 2015 at 12:26:30 AM UTC-4, Denis
Most machine learning algorithms are numeric in practice. I don't know
anything about quantum learning but for SymPy to have interest you'd need
to find things that are symbolic in nature. Are all of these things you
mention implementable and useful from a symbolic point of view?
Jason
moorepants
Hi, I am a Physics and Electronics student from BITS Pilani University,
India. I have an active interest in Quantum Computation, especially the
more recent field of Quantum Machine Learning. Many new things can be
implemented here : Quantum Linear Equation Solver
[http://arxiv.org/abs/0811.3171
How about coupled ODEs?
On Saturday, September 12, 2015 at 12:26:30 AM UTC-4, Denis Akhiyarov wrote:
>
> There is limited analytical PDE solver, but this is not very practical. If
> numerical PDE solution, that area is pretty well established, even in
> python.
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