Supposing I have built an optimization
model in JuMP, how can I evaluate its
objective with a candidate solution? This solution may be obtained manually or from other tools. That is, how to get
objective(x) if I have a tentative value of
The feasibility of a solution (point) can be checked with primal_feasibility_report, but how to get the corresponding objective value?