On Tue, 29 Aug 2023 at 07:09, Shahriar Iravanian <[email protected]> wrote: > > Hi All, >
Hi Shahriar, > I have uploaded a new package, hyint, to github and PyPi. It is a hybrid > (symbolic-numeric) integration package on top of SymPy and numpy/scipy. I > would appreciate it if it is added to the list of projects using SymPy. > > You can find it at https://github.com/siravan/hyint or install it as 'pip > install hyint'. > > hyint uses an ansatz generation algorithm similar to the Risch-Bronstein poor > man's integrator combined with a sparse regression algorithm > adopted from the Sparse identification of nonlinear dynamics (SINDy) to solve > indefinite integration problems to univariate expressions. It can solve a > large subset of standard elementary integrals despite a very small size (a > few hundred lines of code). > > I'm one of the principal contributors to SymbolicNumericIntegartion.jl > (https://github.com/SciML/SymbolicNumericIntegration.jl), which is a Julia > package for symbolic-numeric integration and is the basis of hyint. This sounds excellent. Yes, you can add it to the list of projects using SymPy using a pull request, I think to the website repo. How exactly is it different from Bronstein's poor man's integrator? SymPy has an integration algorithm called heurisch which is based on the poor man's integrator but uses exact rather than approximate solutions to the linear equations. Is exact vs approximate the main distinction here between what hyint does and what heurisch does? -- Oscar -- 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 view this discussion on the web visit https://groups.google.com/d/msgid/sympy/CAHVvXxRyJ3FUZ1pN6GACMoHZBYGbUJAavKq5Y1RW5__1nFAT8w%40mail.gmail.com.
