Jonasz Staszek

Hi Hyewook, yes, this is possible, with the help of a few indicator constraints and variables. Perhaps this post will give you an idea. Best regards,Jonasz

Hi Haonan, perhaps this article will give you some guidance. Best regardsJonasz

Hi Prabhu, you could try: reduced_model = model.presolve()reduced_model.write("reduced_model.lp") Best regardsJonasz

Hi Tooba, could you share some more details about the model you are solving, or share a minimal reproducible example of the code in which the behavior you describe can be observed? We will then be ...

I guess you'll need BigM constraints. I would advise you to familiarize yourself with this article since such constraints could cause instability during your optimization process. For each continuo...

Hi Tooba, we would need more details to help you better. Are the variables binary, integer, or continuous? For a simple case of binaries, you could try: \( \sum_{i=1,..,5} x_i \leq 5\). Best regard...

Hi Niklas, Just to make sure that I got it right: Basically, your suggestion would be to determine a function in dependency of "a_LTL" that will give me the corresponding values that I am curren...

Hi Elisabeth, to give you some guidance, we need more information - the behavior you observe could have numerous causes. Could you tell us more about the problem you solve (its mathematical descrip...

Could you please share a minimal reproducible example of the code which throws this error? We will then be better positioned to help you. Best regardsJonasz

Hi Lisa, I think you'll find the information you need here, under the Solution Pool header. Best regardsJonasz