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
216 stars 39 forks source link

[WIP] Multi-Step Methods #356

Open avik-pal opened 5 months ago

avik-pal commented 5 months ago

TODOs

codecov[bot] commented 5 months ago

Codecov Report

Attention: 107 lines in your changes are missing coverage. Please review.

Comparison is base (8f9a432) 58.65% compared to head (75f1874) 57.12%.

Files Patch % Lines
src/descent/multistep.jl 7.01% 53 Missing :warning:
src/core/approximate_jacobian.jl 43.75% 18 Missing :warning:
src/abstract_types.jl 0.00% 14 Missing :warning:
src/internal/helpers.jl 38.88% 11 Missing :warning:
src/core/generalized_first_order.jl 81.25% 6 Missing :warning:
src/algorithms/multistep.jl 0.00% 5 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #356 +/- ## ========================================== - Coverage 58.65% 57.12% -1.53% ========================================== Files 44 47 +3 Lines 2612 2708 +96 ========================================== + Hits 1532 1547 +15 - Misses 1080 1161 +81 ```

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