activity
20102025
most citedAdaptive Douglas-Rachford splitting algorithm for the sum of two operators

35 citations · 142 across the 22 of their papers we have counts for

collaborators

28 papers

math.OC2025

Primal-dual splitting for structured composite monotone inclusions with or without cocoercivity

Minh N. Dao, Hung M. Phan, Matthew K. Tam +1

In this paper, we propose a primal-dual splitting algorithm for a broad class of structured composite monotone inclusions that involve finitely many set-valued operators, compositi…

math.OC2025

Projected proximal gradient trust-region algorithm for nonsmooth optimization

Minh N. Dao, Hung M. Phan, Lindon Roberts

We consider trust-region methods for solving optimization problems where the objective is the sum of a smooth, nonconvex function and a nonsmooth, convex regularizer. We extend the…

math.OC2023

Stochastic Variance-Reduced Majorization-Minimization Algorithms

Duy-Nhat Phan, Sedi Bartz, Nilabja Guha +1

We study a class of nonconvex nonsmooth optimization problems in which the objective is a sum of two functions: One function is the average of a large number of differentiable func…

math.OC2021★ 1 cited

An adaptive splitting algorithm for the sum of three operators

Minh N. Dao, Hung M. Phan

Splitting algorithms for finding a zero of sum of operators often involve multiple steps which are referred to as forward or backward steps. Forward steps are the explicit use of t…

math.OC2021

An Adaptive Alternating Direction Method of Multipliers

Sedi Bartz, Rubén Campoy, Hung M. Phan

The alternating direction method of multipliers (ADMM) is a powerful splitting algorithm for linearly constrained convex optimization problems. In view of its popularity and applic…

math.OC2020

Demiclosedness principles for generalized nonexpansive mappings

Sedi Bartz, Rubén Campoy, Hung M. Phan

Demiclosedness principles are powerful tools in the study of convergence of iterative methods. For instance, a multi-operator demiclosedness principle for firmly nonexpansive mappi…