Jaromił Najman

To get started with gurobipy, we recommend having a look at our gurobipy webinar series. This should provide you a good introduction to begin implementing your first optimization models. You might ...

Hi Satender, It is currently not possible to get the information you need from within a callback. The only information available in any callback is listed in the Callback documentation. I see two p...

Hi Maximilian, Could you please provide a minimal reproducible example showing the issue? This means that in your case, you would need to at least define 3 variables with an index t. Could you also...

Sub-optimal termination is most often caused by numerical issues during the solution process, please refer to our Guidelines for Numerical Issues for more information. You should try running your m...

At node (i), build the original model from scratch and add the additional cuts/variables which the node demands. This way is working but building the model from scratch is a computational burden. ...

Hi, You can set the feasibility tolerances via the FeasibilityTol and IntFeasTol parameters. If you would like to make Gurobi focus more on true integer values, you should try experimenting with th...

In order to suppress all output, you have to set the OutputFlag parameter to 0 via your environment, e.g., env = gp.Env(empty=True)env.setParam("OutputFlag",0)env.start()m = gp.Model("mip1", env=en...

Hi Ruoyun, You can use variable attributes to set the lower and upper bounds after you added the variables to your model. An example would be import gurobipy from gurobipy import *m = Model('test')...

Hi Ankit, The max function works a bit different in Gurobi. It is used to define a max constraint \[ z = \max\{x_1,x_2,1,2\},\] where \(z,x_1,x_2\) are optimization variables and \(1,2\) constant v...

Hi Bruno, It is hard to explain it briefly in a community post, thus I will directly point you to the publication explaining what is happening here. While the whole paper is definitely worth a read...