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This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

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- due better job of explaining merit function acceptance condition - figure out why IPOPT fails more often than in IPOPT paper (I think it is MUMPs, https://github.com/JuliaSmoothOptimizers/CUTEst.jl may use...

paper

Go through code and fix speed issues. Note that display progress is taking longer than it should. See: https://discourse.julialang.org/t/speeding-up-julia/4794 https://julialang.org/blog/2013/09/fast-numeric https://docs.julialang.org/en/release-0.4/manual/performance-tips/

$(s_i y_i - \mu)^3 / (\mu^2 * \beta_2^2)$

Currently we use a(x) >= 0, but paper uses a(x)