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Can we integrate combinatorial problem solving with (automatic) differentiation? Yes, if bringing in a new generation of solvers, like ConstraintSolver.jl 👇
matbesancon.github.io/post/202

This also brings a broader set of questions as, can we integrate mathematical optimization in a complete development workflow

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@mluebbecke@twitter.com I think this echoes nicely with some parts of yesterday's discussion 🙂

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Also as an aside at the end, what are potential solutions to improve Reverse-Mode AD support in Julia code bases

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