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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Create polyopt.md #627

Closed Vaibhavdixit02 closed 9 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 (24660c5) 0.70% compared to head (c386e7c) 0.00%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #627 +/- ## ========================================= - Coverage 0.70% 0.00% -0.71% ========================================= Files 40 12 -28 Lines 2696 1141 -1555 ========================================= - Hits 19 0 -19 + Misses 2677 1141 -1536 ```

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