FirstOrderSolvers.jl
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Large scale convex optimization solvers in julia
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I have an implementation of inexact augmented lagrangian method, do you think it would fit in here? ```julia for k = 1:iters prox!(E, proxE, D .- A .+ (1/μ) .*...
Removes built in ConeProduct in favor of ProximalOperators SlicedSeparableSum, should benchmark before pull