SciML / Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
https://docs.sciml.ai/Optimization/stable/
MIT License
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Add tests for Optim.BFGS() with user-supplied grad and bounds #761

Closed sjdaines closed 1 month ago

sjdaines commented 1 month ago

Fixes https://github.com/SciML/Optimization.jl/issues/760 https://github.com/SciML/Optimization.jl/issues/755

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codecov[bot] commented 1 month ago

Codecov Report

Attention: Patch coverage is 0% with 1 lines in your changes are missing coverage. Please review.

Project coverage is 0.06%. Comparing base (e2cad3d) to head (19da423). Report is 83 commits behind head on master.

Files Patch % Lines
lib/OptimizationOptimJL/src/OptimizationOptimJL.jl 0.00% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #761 +/- ## ========================================== - Coverage 63.85% 0.06% -63.79% ========================================== Files 22 22 Lines 1527 1605 +78 ========================================== - Hits 975 1 -974 - Misses 552 1604 +1052 ```

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