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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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[WIP] Enzyme and sparse updates #585

Closed Vaibhavdixit02 closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Merging #585 (c1ccddf) into master (c3ba7aa) will increase coverage by 6.36%. The diff coverage is 0.00%.

@@            Coverage Diff            @@
##           master    #585      +/-   ##
=========================================
+ Coverage    2.74%   9.10%   +6.36%     
=========================================
  Files          41      40       -1     
  Lines        2441    2536      +95     
=========================================
+ Hits           67     231     +164     
+ Misses       2374    2305      -69
Files Changed Coverage Δ
ext/OptimizationForwardDiffExt.jl 0.00% <0.00%> (ø)
ext/OptimizationReverseDiffExt.jl 0.00% <0.00%> (ø)
ext/OptimizationSparseDiffExt.jl 0.00% <0.00%> (ø)
ext/OptimizationZygoteExt.jl 0.00% <0.00%> (ø)
src/Optimization.jl 37.03% <0.00%> (+3.70%) :arrow_up:

... and 5 files with indirect coverage changes

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