Johannes Blaschke

@gaussmug.bsky.social

rm -rf ..

Solving f(x)=0 is just Newton's method, right? Well the #julialang nonlinear solvers have had lots of innovations in this very common numerical problems. Our nonlinear solvers demonstrate robustness where #SciPy fails to converge. See the details in this manuscript: arxiv.org/abs/2403.16341

NonlinearSolve.jl: High-Performance and Robust Solvers for Systems...

Efficiently solving nonlinear equations underpins numerous scientific and engineering disciplines, yet scaling these solutions for complex system models remains a challenge. This paper presents...

arxiv.org