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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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Update Project.toml #632

Closed Vaibhavdixit02 closed 8 months ago

codecov[bot] commented 9 months ago

Codecov Report

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

Comparison is base (929ab49) 8.24% compared to head (81ec6ab) 8.24%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #632 +/- ## ====================================== Coverage 8.24% 8.24% ====================================== Files 40 40 Lines 2704 2704 ====================================== Hits 223 223 Misses 2481 2481 ```

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