ce jekl

I am currently developing a set of heuristics that are similar to local branching. After incorporating all the local branching constraints into my model, my approach involves only modifying the con...

Is it possible to pass the Gurobi model from c++ to python by reference or something like that, instead of writing the model to mps in c++ and reading the file in python? I have a project of which ...

I need to use gurobi feasRelaxS, and my model is built in pyomo. Is there a way to use pyomo to solve a feasRelax model?

If gurobi detects the problem is unbounded, e.g. unbounded LP, what solution will be returned? For example, \[\begin{align}\min \alpha \\ s.t. x \ge 0 \end{align} \] what is the value of \(x\)?

Is there any explanation for quadratic programming? I don't quite understand the logging of QP. What's the meaning of QLMatrix in the log? I have no coefficient less than 1, why there's a 7e-2 in ...

From the online doc, I know the sign of dual depends on the sense of constraints, but I'm confused with the following example: m.addConstr(x <= y)m.addConstr(x - y <= 0)m.addConstr(0 <= y - x)m.add...

I use model.addConstr(x.sum(i, '*') <= 1, f"constr_{i}") However, if x.select(i, '*') is empty, the constraint cannot be get by name. m = Model()c = m.addConstr(0 <= 1, "123")m.update()assert c is ...

I know gurobi have a getA() method to get constraint matrix. But how to get the rhs of all constraints and the objective coefficient vector?

I have a problem with the following form where f and h are linear functions, and g(x,y) is a nonlinear function. If I fix x, g(x,y) will be a non-convex quadratic function. If I fix y, g(x,y) will...

I want to write the model into rlp format and write a solution which can be read back by the generated model by reading the rlp file.Is there a way to do this in gurobi?