Simon Bowly

Hi Lukas, You could write the solution values from the tupledict into a numpy array like so: arr = np.zeros((M, N))for i in range(M): for j in range(N): arr[i,j] = x[i,j].X But you may fi...

Hi Afsoon, You need to get the solution values from the MVar first. In this case, you can use np.amin(z.X) to find the minimum of all variable solution values in the array.

Yes it is, see the Callback Codes documentation. You can access the current elapsed run time using model.cbGet(GRB.RUNTIME) in any callback except the polling callback.

Hi Sebastian, If you have a callable that isn't a function, you can work around this particular limitation by using a lambda function as follows: import gurobipy as gpm = gp.Model()# where 'callbac...

Hi Putri, You will need to have your full Gurobi license set up (academic license or take-gurobi-with-you, as we discussed today, depending on whether this is for your commercial or academic work) ...

Hi Putri, I can't tell what the issue is here from looking solely at the model code. What error message and/or log output are you seeing? At what point in this code do you call mdl.optimize() to so...

Hi Putri, Python's error messages can be a bit cryptic here, and often point to the code after the issue, not the issue itself. In this case it looks like you just have a mismatched bracket at this...

Hi Eduardo, You can build sparse indexes like this, but you'll need to create a list of index tuples explicitly first and pass it to addVars. One way to do this is the following: I = [1, 2, 3]Ji = ...

Yes, the presolved model structure dictates the algorithm that is used. If the presolved model is an MILP, then in general branch and bound is needed to guarantee a result. Most likely, one of the ...

GRBsetintparam is a function, not a macro, so it requires a different syntax. Try the following: Gurobi.GRBsetintparam(env, "OutputFlag", 0)