Carl Baier

Jaromił Najman Thats sad to hear. Any idea on how to achieve that in this model?

Jaromił Najman Thanks, but before I can try that, another problem has just arisen, which again fits well with the title of the thread. I forgot to incooperate \(\lambda\) in the demand constraint. ...

Jaromił Najman I have now adapted the code so that for each iteration all sub-problems are solved first and then the next iteration begins. Unfortunately, the result is still the same. Columns are ...

Jaromił Najman Najman Thank you very much. Together with your help, I was able to get the iterative process working. However, the code currently runs over all iterations without changing the reduce...

Ronald van der Velden Of course it just was a stupid double return in the variable function. Now the optimization runs through but obviously there is now optimal solution. Unfortunately, I'm at my ...

Ronald van der Velden And i also guess that the column added is the wrong on, as i am "giving" over the whole solution matrix, but obvioulsy i only want to hand over the \(motivation_{ts}\) values ...

Ronald van der Velden Thanks, that did help. I also fixed a few other errors, but now i run into this error      self.model.setObjective(-gu.quicksum(self.motivation[t,s]*self.duals_ts[t,s] for t i...

Ronald van der Velden Yes, i updated the code, the error is now gone, but now the Constr cant be found.

Ronald van der Velden I have just updated my code and adapted the structure. Unfortunately, I still can't manage to link the dynamic index r in the master problem with the variable \(motivation_{it...

Ronald van der Velden I see. How would the code look to implement this?