11 citations · 15 across the 7 of their papers we have counts for
6 papers · 1 filter
An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems
Bo Yang, Xinyuan Zhao, Xudong Li +1
To ensure the system stability of the -guaranteed cost optimal decentralized control problem (ODC), an approximate semidefinite programming (SDP) problem is f…
Strong Variational Sufficiency for Nonlinear Semidefinite Programming and its Implications
Shiwei Wang, Chao Ding, Yangjing Zhang +1
Strong variational sufficiency is a newly proposed property, which turns out to be of great use in the convergence analysis of multiplier methods. However, what this property impli…
A Unified Convergence Analysis of a Second-Order Method of Multipliers for Nonlinear Conic Programming
Liang Chen, Junyuan Zhu, Xinyuan Zhao
In this paper, we accomplish a unified convergence analysis of a second-order method of multipliers (i.e., a second-order augmented Lagrangian method) for solving the conventional…
A proximal DC approach for quadratic assignment problem
Zhuoxuan Jiang, Xinyuan Zhao, Chao Ding
In this paper, we show that the quadratic assignment problem (QAP) can be reformulated to an equivalent rank constrained doubly nonnegative (DNN) problem. Under the framework of th…
SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0)
Defeng Sun, Kim-Chuan Toh, Yancheng Yuan +1
SDPNAL+ is a {\sc Matlab} software package that implements an augmented Lagrangian based method to solve large scale semidefinite programming problems with bound constraints. The i…
Quadratic growth conditions for convex matrix optimization problems associated with spectral functions
Ying Cui, Chao Ding, Xinyuan Zhao
In this paper, we provide two types of sufficient conditions for ensuring the quadratic growth conditions of a class of constrained convex symmetric and non-symmetric matrix optimi…