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
704 stars 77 forks source link

Eliminate some runtime dispatch and other things #597

Closed Vaibhavdixit02 closed 11 months ago

codecov[bot] commented 11 months ago

Codecov Report

Merging #597 (57c2f39) into master (09cc1e7) will decrease coverage by 0.76%. The diff coverage is 0.00%.

@@            Coverage Diff            @@
##           master    #597      +/-   ##
=========================================
- Coverage    8.87%   8.12%   -0.76%     
=========================================
  Files          40      40              
  Lines        2669    2682      +13     
=========================================
- Hits          237     218      -19     
- Misses       2432    2464      +32     
Files Coverage Δ
ext/OptimizationSparseDiffExt.jl 0.00% <0.00%> (ø)

... and 2 files with indirect coverage changes

:mega: We’re building smart automated test selection to slash your CI/CD build times. Learn more