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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Format and sparsearrays only 1.10 #656

Closed Vaibhavdixit02 closed 9 months ago

Vaibhavdixit02 commented 9 months ago

Checklist

Additional context

Add any other context about the problem here.

codecov[bot] commented 9 months ago

Codecov Report

Attention: 11 lines in your changes are missing coverage. Please review.

Comparison is base (880fc54) 8.86% compared to head (7bb9e3d) 8.77%.

Files Patch % Lines
lib/OptimizationOptimJL/src/OptimizationOptimJL.jl 62.50% 3 Missing :warning:
lib/OptimizationBBO/src/OptimizationBBO.jl 0.00% 2 Missing :warning:
...zationEvolutionary/src/OptimizationEvolutionary.jl 0.00% 2 Missing :warning:
...onStrategy/src/OptimizationCMAEvolutionStrategy.jl 0.00% 1 Missing :warning:
lib/OptimizationFlux/src/OptimizationFlux.jl 0.00% 1 Missing :warning:
lib/OptimizationGCMAES/src/OptimizationGCMAES.jl 0.00% 1 Missing :warning:
lib/OptimizationMOI/src/nlp.jl 0.00% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #656 +/- ## ========================================= - Coverage 8.86% 8.77% -0.09% ========================================= Files 31 31 Lines 2504 2506 +2 ========================================= - Hits 222 220 -2 - Misses 2282 2286 +4 ```

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