ce jekl

from gurobipy import *import numpy as npimport timedef process_expr(expr: LinExpr):    c = 0    remove_vars = []    for i in range(expr.size()):        var = expr.getVar(i)        if var.VarName.st...

My task is to modify some of the constraints(for hundreds of thousands of them) already in the model, not to construct the whole model. I need to remove the constraints and remove some of the vars ...

from gurobipy import *from joblib import Parallel, parallel_backend, delayedimport multiprocessing as mpdef process_expr(expr: LinExpr): c = 0 remove_vars = [] for i in range(expr.size()):...

  Gurobi spends lots of time in the root node, but this problem is nearly infeasible, so it cannot find a feasible solution quickly. Can I skip the root node?

Thank you very much! Sorry, I don't quite understand the meaning of "integrality of the relaxation solution". Does it mean the number of integral variables in the relaxation solution or other thin...

Thanks! The problem magically disappears, but I have one more question. If I optimize a multi-objective model after setting the first obj and then add more objs and optimize, without changing any o...

Thank you, I think I'm pretty familiar with the information on the website But my question is how can I quickly move from the root node to the descending nodes without spending lots of time in the ...

Thanks. Another question: 1. Is possible to let gurobi parallelize primal heuristics after root lp? My problem often solved at the root node with primal heuristics for a long time and I wonder if I...

Hi, Jaromił Thank you for your quick response and patience! Adding a constraint as a lazy constraint and as a user cut will not benefit the solution process. Lazy constraints will be sorted out if...

Hi, Jaromił Thank you for your quick response. Yes, there can be an issue with syncing meaning that a lazy constraint has not been added yet to all nodes while you already use it as a user cut. I ...