activity
20152019
most citedA splitting primal-dual proximity algorithm for solving composite optimization problems

19 citations · 41 across the 6 of their papers we have counts for

collaborators

6 papers

math.FA2019

Convergence analysis of an inexact inertial Krasnoselskii-Mann algorithm with applications

Fuying Cui, Yang Yang, Yuchao Tang +1

The classical Krasnoselskii-Mann iteration is broadly used for approximating fixed points of nonexpansive operators. To accelerate the convergence of the Krasnoselskii-Mann iterati…

math.FA2018★ 9 cited

Convergence analysis of a variable metric forward-backward splitting algorithm with applications

Fuying Cui, Yuchao Tang, Chuanxi Zhu

The forward-backward splitting algorithm is a popular operator-splitting method for solving monotone inclusion of the sum of a maximal monotone operator and a cocoercive operator.…

math.OC2017★ 7 cited

A first-order splitting method for solving a large-scale composite convex optimization problem

Yu-Chao Tang, Guo-Rong Wu, Chuan-Xi Zhu

The forward-backward operator splitting algorithm is one of the most important methods for solving the optimization problem of the sum of two convex functions, where one is differe…

math.OC2017★ 6 cited

A general framework for solving convex optimization problems involving the sum of three convex functions

Yu-Chao Tang, Guo-Rong Wu, Chuan-Xi Zhu

In this paper, we consider solving a class of convex optimization problem which minimizes the sum of three convex functions , where is differentiable with a…

math.OC2015★ 19 cited

A splitting primal-dual proximity algorithm for solving composite optimization problems

Yu-Chao Tang, Chuan-Xi Zhu, Meng Wen +1

Our work considers the optimization of the sum of a non-smooth convex function and a finite family of composite convex functions, each one of which is composed of a convex function…

math.OC2015

A Warm Restart Strategy for Solving Sudoku by Sparse Optimization Methods

Yuchao Tang, Zhenggang Wu, Chuanxi Zhu

This paper is concerned with the popular Sudoku problem. We proposed a warm restart strategy for solving Sudoku puzzles, based on the sparse optimization technique. Furthermore, we…