Matthias Miltenberger

I don't have much to add to Jonasz' comment. His suggested tools are way more specialized for this purpose and should be much easier to use to solve that problem. Cheers,Matthias

That is very hard to say upfront. It also depends on your model and whether the reformulation still makes sense and provides a meaningful solution. Cheers,Matthias

Yes, linear constraints and objectives are almost always easier to optimize than quadratic or general nonlinear ones. Cheers,Matthias

Hi! This is a pretty huge model with lots of nonlinearities (6 million general constraints, 1.4 million quadratic objective terms). It very much looks like you are running out of memory here. You s...

You cannot retrieve the objective function value because the model is infeasible. You should enable the output from Gurobi (don't use OutputFlag=False) to see this: Solution count 0Model is infeasi...

Hi Florian! Did you try changing the LC_ALL environment variable? export LC_ALL=C Cheers,Matthias

Hi Maximilian, Please also not that your functions immediately return something so the following code will never be executed. Cheers,Matthias

Hi José, Yes, to add an indicator constraint, you need to work with a single binary variable that either activates or deactivates the constraint. In your case, you can add a new auxiliary variable ...

No, the inverse of the basis matrix is not available, unfortunately. Best regards,Matthias

Hi Paola, There is only one constraint that is affected by eps. Instead of adding this modified constraint to your problem in every iteration of the loop, you should just change the right-hand side...