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 mtkize to docs #677

Closed Vaibhavdixit02 closed 6 months ago

Vaibhavdixit02 commented 6 months ago

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Additional context

Add any other context about the problem here.

codecov[bot] commented 6 months ago

Codecov Report

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

Comparison is base (38731c8) 8.87% compared to head (3adb0cf) 1.94%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #677 +/- ## ========================================= - Coverage 8.87% 1.94% -6.94% ========================================= Files 31 31 Lines 2523 2518 -5 ========================================= - Hits 224 49 -175 - Misses 2299 2469 +170 ```

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