Eli Towle

Hi Felix, You could do this with a callback. For example, this callback creates a list of times, objective values, and objective bounds, then writes the data to a CSV file: import gurobipy as gpimp...

Hi Amin, From the documentation, you need to additionally define the linear term for each of the quadratic constraints. This can be done by modifying the m.quadcon(i).q field. Some sample code to s...

Hi Rohan, Could you try calling Model.update() immediately before reading the .mst file? Thanks! Eli

Constraints in your original model (expressed in terms of variables \( x \) representing portfolio weight) can be translated to the OptiMod model's variable space (reformulated to use variables \( ...

If I set the Threads parameter to 10, I assume it sets an upper limit on how many threads/cores (if single-threaded) Gurobi can use. Is that right? Or does it force Gurobi to use 10?  Yes, 10 wil...

The Gurobi process isn't aware Slurm is limiting the number of cores it can use. The Gurobi process sees the machine has 24 physical cores and 24 logical processors, then uses that information to d...

Like Xavier mentioned, the MIPGap parameter is what you are trying to set. It is a termination criterion - Gurobi will stop solving a model (or multi-objective step) after reaching the specified re...

From the documentation for GRBnewmodel: Note that the new model will get a copy of this environment, so subsequent modifications to the original environment (e.g., parameter changes) won't affect ...

You could write these constraints as indicator constraints using Model.addGenConstrIndicator() (or the overloaded operator \(\texttt{>>}\)): MyAgentShare = my_model.addVars(nagents, name="AgentShar...

Here is one another idea. Let \( I \) be the set of cities, and let \( C_i \) be the set of cities that are not "close enough" to city \( i \in I \). If city \( i \in I \) is in the group, all citi...