Maliheh Aramon

Hi Ramesh, Gurobi can directly solve ILPs, so there is no need to manually convert them to LPs. The underlying solution methodology for solving an ILP is called branch-and-bound which is an LP-base...

Hi Ignacio, The behavior you're observing can occur when the model is prone to numerical issues, as you alluded to. In such cases, the "optimal" solution obtained may not be of perfect quality. The...

Do you solve the model to optimality? The best bound solution at optimality is equal to the optimal solution. I am not sure why you need to look at the node solution at optimality. The best bound d...

Hi Giordano, The error happens because the function \(\texttt{bbsol}\) does not know what the variable \(\texttt{x}\) is. You need to pass the model variables as data to the callback function. See ...

Hi Moses, If the primal problem is a minimization model, the current best objective values and the current best objective bound queried via the MIPSOL callback will always show a non-increasing and...

Hi,  Gurobi is a global solver for both convex and non-convex problems. If the model is solved to infeasibility without a warm-start solution, the Gurobi has concluded that there is no feasible sol...

Sorry, I read your question as "install" and did not realize you were looking for "uninstall". Sorry about that. Remove the Gurobi installation directory. If you have installed the Gurobi Optimize...

Hi Philipp,  The best option is to use an Academic WLS License as its authenticon does not depend on the software or hardware property of the underlying machine. However, you need to have a reliabl...

See the detailed instructions in the article "How do I install Gurobi Optimizer?".

However, is it possible to convert the values of the decision variables to a `numpy.array`? Yes, you can convert the values to a numpy array but the issue is that you do not have access to values...