Jakob Schelbert

Hi Tim, you could try using the simplex which always stays at a vertex of the polyhedron, but looking at your problem size barrier is probably faster (you can play around with the Method parameter,...

Hi Luca, barrier is probably better known as interior point methods (https://en.wikipedia.org/wiki/Interior-point_method). The Wikipedia article contains some useful links to papers, for example fr...

Hi Han, I'm not sure what you mean. Should the variable be fixed to that value? You can add constraints that force a variable to a certain value. While gurobi itself cannot generate random values, ...

Hi Astghik, you can try to set the focus http://www.gurobi.com/documentation/8.1/refman/mipfocus.html#parameter:MIPFocus or the heuristics http://www.gurobi.com/documentation/8.1/refman/heuristics....

Hi, you should probably check the status of the model whether gurobi determined it being infeasible and catch that situation by doing something else compared to the normal case where the model is s...

Hi Curt, If I'm not mistaken, you could use a partial (old) solution and try to feed it to gurobi as a start solution. Maybe your knowledge can help you to decide which variables should be the same...

Hi Curt, If I understand "cosmetic variations" correctly I'd have a look at symmetry breaking constraints. Maybe this helps you to get solutions that are really different from a functional point of...

Hi Ruchika, see http://www.gurobi.com/documentation/8.1/examples/qcp_py.html and http://www.gurobi.com/documentation/8.1/examples/qp_py.html. Note that the former is a continuous problem but you ca...

Hi Rasmus, To the best of my knowledge the best solution is used to cut off parts of the branch-and-bound-tree that cannot yield better solutions that the one provided. If I understand your questio...

Hi Danylo, You wrote earlier that "I scale and center the variables to [-1,1]". I was assuming that by doing this you change the coefficients in your constraints. My suggestion would then be to jus...