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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Moved optstats to SciMLBase #681

Closed Vaibhavdixit02 closed 8 months ago

Vaibhavdixit02 commented 8 months ago

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codecov[bot] commented 8 months ago

Codecov Report

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

Comparison is base (24e9a11) 0.00% compared to head (54f11bd) 8.78%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #681 +/- ## ========================================= + Coverage 0.00% 8.78% +8.78% ========================================= Files 12 31 +19 Lines 1119 2516 +1397 ========================================= + Hits 0 221 +221 - Misses 1119 2295 +1176 ```

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ChrisRackauckas commented 8 months ago

Bump the lower bound of SciMLBase in the Package.toml as well.