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jump-dev / JuMP.jl

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
http://jump.dev/JuMP.jl/
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[docs] add Automatic differentiation of user-defined operators tutorial #3713

Closed odow closed 3 months ago

odow commented 3 months ago

x-ref #3712 x-ref https://github.com/jump-dev/JuMP.jl/issues/2348#issuecomment-1822073111

Preview: https://jump.dev/JuMP.jl/previews/PR3713/tutorials/nonlinear/operator_ad/

codecov[bot] commented 3 months ago

Codecov Report

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

Project coverage is 98.37%. Comparing base (a15daaa) to head (0a983e9). Report is 1 commits behind head on master.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #3713 +/- ## ======================================= Coverage 98.37% 98.37% ======================================= Files 43 43 Lines 5736 5737 +1 ======================================= + Hits 5643 5644 +1 Misses 93 93 ```

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gdalle commented 3 months ago

want a review for this one @odow? I stumbled upon it by accident and it's right up my wheelhouse

odow commented 3 months ago

@gdalle sure. You are also welcome to review any PRs :) No need to wait for an invitation.