and statistics is to characterize the convex hulls of simple low-rank sets and judiciously apply these convex hulls to obtain strong yet computationally tractable relaxations. We invoke the matrix ...

Robust convex constraints are difficult to handle, since finding the worst-case scenario is equivalent to maximizing a convex function. In this paper, we propose a new approach to deal with such ...

In particular, convex functions facilitate the derivation ... in the refinement of Young’s inequality have provided new perspectives on the relationships between weighted arithmetic and ...