Reconsider the termination norm for NLLS problems

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

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Reconsider the termination norm for NLLS problems #398

Closed avik-pal closed 6 months ago

avik-pal commented 6 months ago

Question❓

Currently we terminate based on the inf-norm, but it might make sense to terminate based on the RMS or the L2 norm since that is the actual objective being minimized.