How to get Best Bound when model is not MILP. Specifically when model is SOCP, MIQP.

[Ashim-Khanal]

I am trying to retrieve the best bound (after certain specified run time) for a second-order cone program model with quadratic constraints. Since the model is not MILP, the method: "m.get_solve_details().best_bound" did not work.

Please help to get the best bound when there are quadratic constraints.

[Ashim-Khanal]

Following this solution worked

#79 (comment)

    c = m.get_cplex()
    best_bound = c.solution.MIP.get_best_objective()

Thanks