Hussein Sharadga

Hi Gurobi Community! Suppose I have a limited time to solve a big MILP problem. Gurobi Consume 510 seconds to prove the optimality and then 200 seconds to find the solution using branch and bound a...

Does Guroib take advantage of the problem structure? I am working on a large optimization problem with more than 40,000 binary variables and huge number of constraints. below is only one of the con...

After I use the following command: m.computeIIS()m.write("m.ilp") how to figure out which constraint was the source of the problem? Please see the lip file below: I have a big model and I even do n...

Hi Gurobi Community. What is the difference between quadratic expression and quadratic constraint for gurobi? For quadratic constraint, I need to set the nonconvex parameter to 2 for gurobi to solv...

In the following code: x is constant, and B is the optimization variable. I have the following constraint.\[x<=sum(B)\]This constraint is the source of the problem.If I flip it as follows, the prob...

Hi! I tried to solve a problem with the following objective function: \[\min\  x^2-0.6x+M|x^2-x|\] \[0<=x<=1\] M=10import gurobipy as gpm=gp.Model()x=m.addVar(vtype='C',lb=0,ub=1)aux=m.addVar(vtype...

Hi! I believe convex optimization means to find the minimum of a convex function or the maximum of a concave function ( maximum of a concave function == minimum of -concave function, -concave funct...

Hello! What is the best way to Handel a huge number of equality constraints like the two constraints given here? The model is infeasible. The model will solve if I replace the equality sign by "<="...

I have an issue using max function in Gurobi. I know that np.max (np is for numpy) will not work fine. I learned that I should use the max_ function of gurobi and add some auxiliary variables but I...

I try to solve my Optimization problem using Gurobi in Python but the answer does not make sense. I solve the problem using MATLAB CVX library with MSOEK solver to get an answer (solution should be...