Eli Towle

Hi Jose, You can add your constraints in a single statement using the Model.addConstrs() method. Instead of passing a single constraint to the method, you pass a generator expression for an entire ...

Hi Sagnik, No, any rounding of variables to account for these tiny numerical differences must be done on your own after the solver terminates. In some cases, small roundings like this can impact th...

Hi, This doesn't fit well into Gurobi's multiobjective optimization framework, because the third solve considers a (potentially) different feasible region. In this case, it might be better to imple...

Hi Sushil, You could try setting the PrePasses parameter to limit the number of presolve passes that Gurobi performs. Also, Gurobi does find a feasible solution right away: Found heuristic solution...

Hi Jose, I see two issues with the code: You create new model variables using Model.addVars(), but you do not assign the returned tupledict object to a Python variable named y. tupledict.sum() is...

Hi Simon, This should still be possible with a different formulation. Again, let \( v \) be the variable you call "result," and let \( d \) be the second dictionary. In addition to the constraints ...

Hi, A list of NEOS interfaces can be found here. There isn't a way to directly submit a job to NEOS using only the Gurobi Python interface. You could always build the model in Python, save it as an...

Hi Hector, Are you able to look at the full log produced by Gurobi? It seems that Gurobi does not improve the objective bound past \( 0 \) in the 60-second time limit. If you want to focus on impro...

Hi Simon, The current formulation won't work because you cannot use model variables to index other variables/parameters. However, we can model this as follows. Let \( c \) denote the first dictiona...

Hi Stephanie, Yes, an academic license lets you use Gurobi to simultaneously solve as many models as you'd like (though this obviously may result in poor performance). Thanks, Eli