You're all so lucky your problems can be solved quickly. I seemingly have hit the worst possible problem for ILP. Admittedly I am just testing things in GLPK, b

You're all so lucky your problems can be solved quickly. I seemingly have hit the worst possible problem for ILP. Admittedly I am just testing things in GLPK, but still, solving the ILP problem at problem size n=6 does not terminate. GLPK can solve the LP relaxation up to n=50, but it gets unbearably slow. This isn't even a contrived problem to trick the LP solver. It is a grossly oversimplified version of the actual problem, which could have millions to billions of variables and even that version would be a grossly oversimplified version of the one based on the LPCC problem, aka linear programming with complementarity constraints so that I can model equilibrium conditions. It slowly dawns upon me that LP/LPCC are highly nonviable for what I'm trying to do, which is kind of funny, because the discipline itself pretends that equilibrium is easy and automatic.