Riley Clement

Hi Paula,The log shows 33 variables added to disaggregate expressions. Is Gurobi decomposing the degree-4 product into a chain of bilinear constraints during presolve, e.g.:   t1 = w_i · (Cbar_i - ...

Hi Federica,The Lazy attribute is only relevant to constraints that you generate before the solve, so if you're using a callback to add lazy constraints, then you don't have to worry about this att...

Hi Than,Modern MIP solvers are very complex beasts and it is not easy to infer what is happening from logs alone.  I'm not sure what you mean by “faulty branch”.  Perhaps you are referring to a nod...

Hi Aurélien,The basis provided is extremely ill-conditioned.  We can calculate the Kappa value like so:import gurobipy as gp m = gp.read("test.lp") m.read("test.bas") m.params.IterationLimit=0 m.op...

Hi Xinge,You can use the following codeimport gurobipy as gp import numpy as np import pandas as pd m = gp.read("/path/to/model") col_names = {v.index:v.varname for v in m.getVars()} row_names = ...

Hi Xinge,I would not set Aggregate=2, this will be making the problem worse.  My guess is that it would be better to also leave PreSparsify at its default.  Your other parameter settings look reaso...

Hi Xinge,I will create a Support Request for you through our Help Center so we can help investigate.Please keep an eye out for an email related to this, which will arrive soon.- Riley

Hi Hendrik,I think you're on the right track.  I'm not sure I see a motivation to use less indicator constraints.  The only think I would do is make fix the binaries by the lower bounds.  It might ...

Good to hear Ahmet, that is indeed the best approach.

Apologies Perapat for the confusion around asking an earlier question.  It looks like you and Huan Nguyen are working on the same assignment and asking very similar questions.https://support.gurobi...