1 citations · 1 across the 3 of their papers we have counts for
4 papers
Linear Convergence Rate Analysis of Proximal Generalized ADMM for Convex Composite Programming
Han Wang, Yunhai Xiao
The proximal generalized alternating direction method of multipliers (p-GADMM) is substantially efficient for solving convex composite programming problems of high-dimensional to m…
On the Linear Convergence Rate of Generalized ADMM for Convex Composite Programming
Han Wang, Peili Li, Yunhai Xiao
Over the fast few years, the numerical success of the generalized alternating direction method of multipliers (GADMM) proposed by Eckstein \& Bertsekas [Math. Prog., 1992] has insp…
Robust Closed-loop Model Predictive Control via System Level Synthesis
Shaoru Chen, Han Wang, Manfred Morari +2
In this paper, we consider the robust closed-loop model predictive control (MPC) of a linear time-variant (LTV) system with norm bounded disturbances and LTV model uncertainty, whe…
Robust Convergence Analysis of Three-Operator Splitting
Han Wang, Mahyar Fazlyab, Shaoru Chen +1
Operator splitting methods solve composite optimization problems by breaking them into smaller sub-problems that can be solved sequentially or in parallel. In this paper, we propos…