Hi All, 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. Thanks, Shahriar Iravanian -- 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/19d5e265-ddfb-4c04-9b07-4c96f4041f4cn%40googlegroups.com.
