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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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Pass state to OptimizationOptimisers callback #649

Closed Vaibhavdixit02 closed 9 months ago

Vaibhavdixit02 commented 9 months ago

Fixes #648

codecov[bot] commented 9 months ago

Codecov Report

Attention: 1 lines in your changes are missing coverage. Please review.

Comparison is base (f800cf4) 8.46% compared to head (7f2f357) 8.46%. Report is 3 commits behind head on master.

Files Patch % Lines
...timizationOptimisers/src/OptimizationOptimisers.jl 80.00% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #649 +/- ## ====================================== Coverage 8.46% 8.46% ====================================== Files 30 30 Lines 2470 2470 ====================================== Hits 209 209 Misses 2261 2261 ```

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