Alison Cozad

  Your subproblem is a Linear Program (LP), which is advantageous because dual values (pi values) can be retrieved for convex, continuous models. This capability applies to both equal...

This is certainly a tricky topic. Luckily, Yash Puranik, a Principal Data Scientist at Aimpoint Digital, has put some thought into this topic and shared his and Aimpoint's principles for deploying,...

To illustrate these three methods, we will dig into the diet problem below. This is based on the diet.py example in Gurobi's example library. The diet problem -- MIP version Here is the full MIP ve...

This can be tricky because shadow prices are not well-defined in mixed-integer programs.  For this reason, Gurobi does not provide dual values for a model with integer variables.  Nevertheless, if ...

Hi Joaquin, I suspect this relates to the specific license you have. To troubleshoot this better, I have created a ticket from this post. Regards, Alison

You can install gurobipy (Gurobi's Python interface) by following the instructions in How do I install Gurobi for Python? If you are still having issues with installation, please don't hesitate to ...

Great to hear it helped!

Hi Julien, You can write out the parameter file for each environment separately using the Env.writeParams() function.  Here is an example, env0.writeParams("params_from_env0.prm")env1.writeParams("...

Michel is quite right, the Compute IIS routine can be computationally expensive, particularly for large MIP models.  You can find out a bit more about how the routine works here: How does Gurobi co...

You are on the right path by considering experimenting with your model.  This is because there is no way to predict how long it will take to retrieve a feasible or optimal solution.  If everything ...