Carl Baier

Jaromił Najman  Sorry, i have must overlooked that. Looks good now regarding the qc constraints. However is still dont know how to add the new \(\lambda\)'s of each new iteration to R0, R1 and R2. ...

Jaromił Najman Thank you. That did the trick. The model is now running smoothly. However, one thing remains strange. Somehow the columns are only added to qc20, although the values should be added ...

Jaromił Najman  Thanks for the answer. I also came across the idea of defining a "maximum" index self.roster. For this I now pass the max_itr as a value to the MasterProblem class. Unfortunately, I...

@Jaromił Najman I thought I had it figured out with the two indices nursesIndex and rosterIndex, but now I have this KeyError:      qexpr.add(new_var * self.lmbda[self.nurseIndex, self.rosterIndex ...

Jaromił Najman I tried something out (see my code), but sadly it yields this error:     qexpr.add(new_var * self.lmbda[nurseindex, rosterindex], new_coef)                        ~~~~~~~~~~^^^^^^^^^...

Jaromił Najman Thank you very much, it's good that we are now on the same page. Unfortunately, I don't know where in the COde I need to implement your suggestion. I have put my current code in the ...

Jaromił Najman I guess thats just some old code:   Regarding your first part:   Okay , itry to give a proper example. Let's take a look at the constraints qc0 and qc1 as well as R0, R1 and R2. Let'...

Jaromił Najman  Ah, I see. The information about the indices \(t,s\) is not relevant, since each of the (in this case) 21 demand constraints is just such a combination. In this case, only the index...

Jaromił Najman  Thank you so much. Now the reduced costs also change from iteration to iteration, as columns with values \(\neq0\) are also added. Unfortunately, the target function value does not ...

Ah okay. How would I implement your first "idea"?