Maliheh Aramon
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Gurobi Staff
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Recent activity by Maliheh Aramon-
Thanks for your answer. About question 3, I guess that a QP relaxation just could take excessive long time in the presence of numerical issues, in which case the node processing would be terminate...
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Regarding question 2) No, when solving an MIQP model, either you should use the barrier for all QP relaxations including root and node via setting Method=2 and NodeMethod=2, or all the QP relaxatio...
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Hi Tanmoy, The Gurobi Optimizer uses an LP-based Branch-and-Bound (B&B) algorithm to solve a MIP. The B&B algorithm has multiple building blocks including presolve, relaxation, node selection, bra...
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Hi Abde, To fix the variable \(\texttt{S2[s,t]}\) to the value of the variable \(\texttt{S1[s,t]}\) already optimized, you can use one of the approaches below: Via setting the lower and upper bou...
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Hi Qiuyan, It is not possible to use Gurobi variable objects in if-clauses because there is no value associated with them to be used in comparison. The reason for the error you see is well-explain...
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Hi Gabriel, We do not support asynchronous optimization in Python because the gurobipy module is not thread-safe. Therefore, there is no method similar to the GRBModel.optimizeasync() method of C+...
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In the log we have the messages below implying that Gurobi processes the start solution. User MIP start did not produce a new incumbent solution...Another try with MIP start Please see the document...
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Yes, your understanding is correct. The R and MATLAB APIs are matrix-oriented where decision variables are defined as a vector and there should be a coefficient for each variable in the objective v...
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Hi Aleksandrs, All Gurobi functional examples are available in R API as well. Please see the R Examples list. There are three examples of diet.R, facility.R, and workforce1.R that you would find u...
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Hi, Please have a look at the script attached assuming that you would like to implement the constraint below with \(w_1\), \(w_2\), and \(d_{12}\) being decision variables: \[\ln(w_1) - \ln(w_2) +...