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

Create SimpleNonlinearSolve_Kernel_Tutorial.md #423

Open Spinachboul opened 2 months ago

Spinachboul commented 2 months ago

Is any change required in the tutorial content?? @ErikQQY

avik-pal commented 2 months ago

Use a filename that is consistent with the other files

Spinachboul commented 2 months ago

Use a filename that is consistent with the other files

Changed the name you suggested

codecov[bot] commented 2 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 79.84%. Comparing base (9da188b) to head (b3443ff).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #423 +/- ## ========================================== - Coverage 86.30% 79.84% -6.46% ========================================== Files 47 47 Lines 2913 2908 -5 ========================================== - Hits 2514 2322 -192 - Misses 399 586 +187 ```

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avik-pal commented 2 months ago

Doc build is failing

Spinachboul commented 2 months ago

Is there any syntax issue in the documentation. Ideally it shouldn't happen

avik-pal commented 2 months ago

You can check the failure https://github.com/SciML/NonlinearSolve.jl/actions/runs/8947164779/job/24579133735?pr=423. In any case, you should be running the code locally before pushing it.

Spinachboul commented 1 month ago

You can check the failure https://github.com/SciML/NonlinearSolve.jl/actions/runs/8947164779/job/24579133735?pr=423. In any case, you should be running the code locally before pushing it.

Sure! Some packages are not installed in the dev while running the code. Also the backend servers are not defined. I'll make the changes soon.