56 citations · 89 across the 15 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
math.OC2022★ 1 cited
A universal accelerated primal-dual method for convex optimization problems
Hao Luo
This work presents a universal accelerated first-order primal-dual method for affinely constrained convex optimization problems. It can handle both Lipschitz and Hölder gradients b…
math.OC2022
An efficient semismooth Newton-AMG-based inexact primal-dual algorithm for generalized transport problems
Jun Hu, Hao Luo, Zihang Zhang
This work is concerned with the efficient optimization method for solving a large class of optimal mass transport problems. An inexact primal-dual algorithm is presented from the t…