Matthias Miltenberger

Hi! I don't understand what you mean by "computation is big". Gurobi does not accept implicit objective functions. You need to specify all coefficients explicitly. You can, of course, split the cod...

Hi Sebastian, Please see these sections in our documentation for further information about how Gurobi solves MIPs concurrently: Parameter ConcurrentMIP Concurrent Optimizer It is often very hard ...

Hi! To suppress the output you may use the OutputFlag parameter: params <- list(OutputFlag=0) Cheers,Matthias

Hi, This seems to be a pure Python issue without anything specific about Gurobi. Could you maybe share a code snippet?I am also unsure about how to print a 3-dimensional structure in matrix form. C...

Hi, Please check the solution status before querying the solution values. Most likely, the problem was not solved so there is no solution to display. Here is some example code snippet: model.optimi...

Hi, Can you please have a look at this SO post? Please try running pip install pywin32 or conda install pywin32 Cheers,Matthias

Hi Georg, You could do something like this: rows = [model.getRow(c) for c in model.getConstrs()]for row in rows: coeffs = {row.getVar(i).varname: row.getCoeff(i) for i in range(row.size())} coef...

Hi Yuan, Are you sure that your solution is feasible? You can check the solution using the cbUseSolution callback.Please check that you followed the guidelines for how to set solutions via callback...

Hey Liam, You are trying to solve a pretty huge model, containing over 6 million binary variables and more than 30 million nonzeroes. You may want to reduce the number of presolving rounds via PreP...

Hi Fatemeh, Please check whether your GRB_LICENSE_FILE environment variable is set correctly and points to the actual location of the license file. You can also copy the license file to C:\gurobi\g...