Eli Towle

Hi Sutanu, You would have to use a deterministic formulation of the chance-constrained problem in order for Gurobi to be able to solve it (assuming this formulation is in the class of problems that...

Hi Parisa, You should be able to do this by using the quicksum() function to calculate the inner product term. Consider the following (simplified) constraint: \( a^\top x \geq 1 \) We can create an...

Hi, It looks like a password is specified in the Gurobi license file used by the token server (see here). To use a password-protected token server, you should specify the same password in your loca...

Hi, You see this error because you are trying to add the variable y[17,1] to a constraint, but this variable does not exist. A y variable is defined for every tuple in the list C: [(1, 1), (1, 2), ...

Hi, Since the path to your Python executable has spaces in it, could you try adding quotes around it? E.g., "c:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\python" setup.py inst...

Hi Jonas, The issue here is that you are effectively asking Gurobi to optimize with respect to an oracle function (the expected value function, which integrates a complicated PDF over bounds that d...

Hi Markus, It sounds like your inequalities should be added using the MIPSOL callback. This callback is called whenever a new MIP incumbent solution is found, which includes those found via heurist...

Hi Rafael, Do you have a short code snippet that replicates this behavior, and the output produced by the code? Thanks! Eli

Hi Ehsan, Q_HI_0_0 is a binary variable, and A22_HI_0 is a nonnegative integer variable. The two constraints in question are: D_HI_0:          - 17 Q_HI_0_0 + D_HI_0 = 0A22_HI_cnst_0:   A22_HI_0 - ...

Hi Rafael, Yes, you can pass warm-start solutions to Gurobi. One way to do this is by setting the Start variable attributes to the corresponding warm-start values. You can also specify a .mst or .s...