Maliheh Aramon

Hi Kewei, The answer to your question is yes, assuming the function \(YSAL_t\) has a close-form and is not a black-box function.  Gurobi has an API for indicator constraints but the indicator varia...

Hi,  Could you please elaborate more on your question? It is not clear what the issue is. Do you mean that there are some constraints in your model that are violated beyond the FeasibilityTol param...

Could you please run the script below exactly as it and let us know the output you see?  import gurobipy as gpfrom gurobipy import GRBimport gurobipy_pandas as gppdimport numpy as npimport pandas ...

The script shared before was very close to what you need. You just need to define a new column. See the script below: model = gp.Model()x = gppd.add_vars(model, weights, ub=1, name="weights")windo...

Hi Mohd,  The error message indicates that the pandas Rolling.apply() method can only produce single numeric values. Maybe you can use the fact that the pandas rolling object is iterable. It is not...

This error is a Python error and is not related to Gurobi. The error happens when an integer is made to act as a list. For example, the script below will generate the same error as you observed: A ...

Hi,  Assuming there is no objective function in your model, the Gurobi Optimizer would terminate with an optimal status as soon as it finds a feasible solution. If a feasible solution is found by ...

What do you mean by "solve the constrained problem directly"? - without  PreQLinearize? The optimization problems are not naturally QUBOs because they are usually constrained. To reformulate the ...

Hi Atefeh,  There are so many parameters at non-default values. What is the reasoning behind setting all these parameters? We would suggest first running your model with the default setting. You ca...

Hi, A QUBO is essentially an instance of binary quadratic programming and you can in theory solve an optimization model with Gurobi as long as the sum of the number of variables and constraints is ...