SciML/NonlinearSolve.jl
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High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
3 mentions on Hacker News by 2 people: 0 stories, 3 comments · first 2021-08-10 · latest 2025-10-09
20082026
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…RK and Rosenbrock-type solvers already. For folks interested in --trim on SciML, the PR to watch is https://github.com/SciML/NonlinearSolve.jl/pull/665 which is currently held up by https://github.com/SciML/SciMLBase.jl/pull/1074 which is…
comment by ChrisRackauckas · 2025-10-09 · in Julia 1.12 highlights -
…do not tell the full story. Note that we are preparing an extension to easily use the optimizers https://github.com/SciML/NonlinearSolve.jl/pull/395 to add it to the benchmarks.
comment by ChrisRackauckas · 2024-03-26 · in Nonlinearsolve.jl: Fast and Robust Solvers for Nonlinear Equations in Julia -
…doesn't handle mutating arrays. [2] [0]: https://github.com/PainterQubits/Unitful.jl/pull/472 [1]: https://github.com/SciML/NonlinearSolve.jl/issues/36#issueco... [1]: https://github.com/rakeshvar/Zygote-Mutating-Arrays-WorkArou...
comment by lambdatronics · 2021-08-10 · in ModelingToolkit, Modelica, and Modia: The Composable Modeling Future in Julia