Carl Baier
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Jaromił Najman Hi. I have a new conical problem which appearance. I want to read and analyze all solutions from the solution pool of optimal solutions. For this I use this code. for k in range(m...

Jaromił Najman I know, and I did relax the model before solving it, but sadly it still doesn't work. The computation of the other dual values does work however, as I can print them out if I call th...

Jaromił Najman Sorry, its me again. I recently tried to aggregate all my subproblems into one and use an aggregated formulation of the master problem. To do this, I got rid of the index \(i\) in bo...

Jaromił Najman Well its weird since isnt infeasible but i just cant compute the duals. Any further ideas why that can be?

Jaromił Najman I did some testing and noticed something strange. I copied the Demand_Dict once and multiplied all values by 0.1. If I now use the constraint: def generateConstraints(self): for ...

Jaromił Najman Sure. I updated the code and here are all the possible logs produced (lo0.txt , log1.txt and log2.txt). I guess log1.txt indicates the problem, stating: Continuous model is nonconv...

Jaromił Najman Thanks. I dont know why it should be quadratic nonconvex now, as the new constraint is like the same as the original demand one. I tried the NonConvex with values of 1 and 2, but ne...

Jaromił Najman Its me again. I have been able to expand my model very well in the last few weeks and everything is working so far. Many thanks again. But now I have experimented a bit with my cod...

Jaromił Najman Thank you, I solved it by saving the value of the last iteration performed in a variable and then removing all variables with the index \(r>\)last_itr with remove(). I still have a q...

Jaromił Najman Thanks. Is there any quick way to collect all those variables?