Specialize Jacobians when doing Krylov methods to avoid building the matrices

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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Specialize Jacobians when doing Krylov methods to avoid building the matrices #140

Closed ChrisRackauckas closed 1 year ago

ChrisRackauckas commented 1 year ago

Just doing the AD tricks for Newton-Krylov. Should probably wait for SciMLOperators.jl integration.

ChrisRackauckas commented 1 year ago

Fixed by https://github.com/SciML/NonlinearSolve.jl/pull/203