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May 15, 2021 at 15:06 comment added Mark L. Stone It's not "close" to being convex. I suppose the goodness of any relaxation depends on the constraints from $g$. Anyhow, if $g$ is linear, the optimization problem can be solved as a Mixed-Integer Linear Programming problem (MILP), by introducing binary variables to handle $\text{min(}x_i,x_j)$
May 15, 2021 at 14:35 comment added koo Thank you! I was thinking if there is a way to relax the objective to make it convex optimizable?
May 15, 2021 at 13:30 vote accept koo
May 15, 2021 at 12:42 history answered Mark L. Stone CC BY-SA 4.0