search

SciML / NonlinearSolve.jl

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
https://docs.sciml.ai/NonlinearSolve/stable/
MIT License
228 stars 41 forks source link

Test problem library for regression tests #222

Closed FHoltorf closed 11 months ago

FHoltorf commented 11 months ago

My interpretation of @avik-pal's proposal (https://github.com/SciML/NonlinearSolve.jl/pull/210#issuecomment-1737518425) for how to include the test problem library as part of the tests. If someone has an idea for a more elegant way to flag which tests are allowed to fail (i.e., problems for which we do not expect a given solver to converge), that would be very much appreciated. Here it needs to be done by hand.

avik-pal commented 11 months ago

I pulled the changes here into https://github.com/SciML/NonlinearSolve.jl/pull/226