Maliheh Aramon

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...

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...

Hi,  You cannot pass Gurobi Python objects to a NetworkX algorithm function "local_edge_connectivity". This function expects a NetworkX graph object as the first argument. You cannot create a Netwo...

Hi Yiran,  I found that the optimal solution (obj and the values of the decision variables) of the primal problem were exactly the same You need to check the optimal basis information by querying...

Hi,  The behaviour you described can occur if the solution returned by the first problem is not "clean." Due to the finite precision of floating-point arithmetic, the optimal solution returned by G...

Hi Rahmat, Google Colab runs notebooks in containerized environments. To use the full-featured Gurobi Optimizer without restrictions on problem size in the Google Colab, you need a WLS license. For...

Hi Mike,  As you know, only GRBgeterrormsg() function is included in our official documentation. Therefore, we recommend using this officially documented function. You are correct that the Gurobi C...