activity
20142023
most citedConvergence of Bregman alternating direction method with multipliers for nonconvex composite problems

58 citations · 76 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2023

Well-posedness for the split equilibrium problem

Soumitra Dey, V. Vetrivel, Hong-Kun Xu

We extend the concept of well-posedness to the split equilibrium problem and establish Furi-Vignoli-type characterizations for the well-posedness. We prove that the well-posedness…

math.FA2021★ 2 cited

The noncompact Schauder fixed point theorem in random normed modules and its applications

Tiexin Guo, Yachao Wang, Hong-kun Xu +2

Motivated by the randomized version of the classical Bolzano--Weierstrass theorem, in this paper we first introduce the notion of a random sequentially compact set in a random norm…

physics.app-ph2020★ 13 cited

Non-Negative Matrix Factorization for 2D-XAS Images of Lithium Ion Batteries

Hiroki Tanimoto, Xu Hongkun, Masaishiro Mizumaki +9

Lithium-ion secondary batteries have been used in a wide variety of purposes, such as for powering mobile devices and electric vehicles, but their performance should be improved. O…

math.OC2019

Projection Algorithms for Finite Sum Constrained Optimization

Hong-Kun Xu, Vera Roshchina

Parallel and cyclic projection algorithms are proposed for minimizing the sum of a finite family of convex functions over the intersection of a finite family of closed convex subse…

math.OC2017★ 3 cited

Convergence Analysis of the Frank-Wolfe Algorithm and Its Generalization in Banach Spaces

Hong-Kun Xu

The Frank-Wolfe algorithm, a very first optimization method and also known as the conditional gradient method, was introduced by Frank and Wolfe in 1956. Due to its simple linear s…

math.OC2014★ 58 cited

Convergence of Bregman alternating direction method with multipliers for nonconvex composite problems

Fenghui Wang, Zongben Xu, Hong-Kun Xu

The alternating direction method with multipliers (ADMM) has been one of most powerful and successful methods for solving various convex or nonconvex composite problems that arise…