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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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Add constraints support to ReverseDiff and Zygote #577

Closed Vaibhavdixit02 closed 1 year ago

Vaibhavdixit02 commented 1 year ago

Adds reverse mode AD backends' constraint support

codecov[bot] commented 1 year ago

Codecov Report

Merging #577 (e62eedf) into master (422eacb) will increase coverage by 0.01%. The diff coverage is 10.71%.

@@            Coverage Diff             @@
##           master     #577      +/-   ##
==========================================
+ Coverage   10.17%   10.19%   +0.01%     
==========================================
  Files          41       41              
  Lines        2368     2443      +75     
==========================================
+ Hits          241      249       +8     
- Misses       2127     2194      +67
Files Changed Coverage Δ
ext/OptimizationEnzymeExt.jl 0.00% <ø> (ø)
ext/OptimizationReversediffExt.jl 0.00% <0.00%> (ø)
ext/OptimizationZygoteExt.jl 25.33% <23.68%> (-2.17%) :arrow_down:

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