I'm following this idea here <https://cs.stackexchange.com/questions/95886/algorithm-for-using-power-series-to-numerically-solve-a-partial-differential-equ>
On Friday, July 27, 2018 at 6:53:11 PM UTC+2, Kalevi Suominen wrote: > > > I don't think there is anything like that in SymPy. It looks like you are > expecting to solve a Cauchy initial value problem for partial differential > equations. By the Cauchy-Kowalevski theorem, > <https://en.wikipedia.org/wiki/Cauchy%E2%80%93Kowalevski_theorem>that is > possible for equations with analytic coefficients. For the algorithm, you > should look into the proof of the theorem. > > Kalevi Suominen > > On Friday, July 27, 2018 at 7:13:02 PM UTC+3, foadsf wrote: >> >> I posted this question here on Reddit >> <https://www.reddit.com/r/Python/comments/92cehq/using_sympy_for_solving_pdaes_as_taylor_series/> >> >> and I was advised to repost here as well: >> >> Mathematica has this nice function of AsymptoticDSolveValue which can >> take an ODE plus the initial conditions and then return a power series >> approximation of the solution. I was wondering if there is anything like >> that for solving Partial differential algebraic equation in Python-SymPy or >> other Python symbolic libraries? If not how can we write such a functions? >> If I get the algorithm I might be able to implement it myself. >> > -- 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 [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/920f13ca-43f0-481c-87ca-a7d10cc8410f%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
