Congratulations on the amazing conference of 2020 at first…Let me tell you my problem briefly
I have a non convex NLP (OPF or Optimal Power Flow) and I want to try different solvers on this problem. I decided first to try installing solvers like COUENNE but I got lost actually so until I figure my way out of this loop of installing solvers (why are not all solvers like IPOPT, Gosh) I decided to try something like Juniper since it is very easy to use with Julia
only these two lines and I can use Juniper
optimizer = Juniper.Optimizer
nl_solver = optimizer_with_attributes(Ipopt.Optimizer, “print_level”=>0)
So I used Juniper, but I get LOCALLY_SOLVED as a termination status, and as far as I understand this solver finds the global optimal point so how can this be explained ?