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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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[Experimental] Accelerated First-Order Optimization under Nonlinear Constraints #596

Closed Vaibhavdixit02 closed 1 week ago

Vaibhavdixit02 commented 11 months ago

https://arxiv.org/pdf/2302.00316.pdf

codecov[bot] commented 11 months ago

Codecov Report

Merging #596 (555ecff) into master (09cc1e7) will increase coverage by 0.11%. Report is 21 commits behind head on master. The diff coverage is 0.00%.

@@            Coverage Diff            @@
##           master    #596      +/-   ##
=========================================
+ Coverage    8.87%   8.99%   +0.11%     
=========================================
  Files          40      40              
  Lines        2669    2691      +22     
=========================================
+ Hits          237     242       +5     
- Misses       2432    2449      +17
Files Coverage Δ
ext/OptimizationMTKExt.jl 0.00% <ø> (ø)
lib/OptimizationMOI/src/moi.jl 0.00% <0.00%> (ø)

... and 4 files with indirect coverage changes

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Vaibhavdixit02 commented 1 week ago

Stale and not sure if worth following up on