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求解两块可分离凸极小化问题的惯性交替方向乘子法
引用本文:杨洋,唐玉超.求解两块可分离凸极小化问题的惯性交替方向乘子法[J].数学研究及应用,2021,41(2):204-220.
作者姓名:杨洋  唐玉超
作者单位:南昌大学数学系, 江西 南昌 330031
基金项目:国家自然科学基金(Grant Nos.12061045; 12061046; 11661056; 11771198; 11771347; 91730306; 41390454; 11401293), 中国博士后科学基金(Grant No.2015M571989), 江西省博士后科学基金(Grant No.2015KY51).
摘    要:The alternating direction method of multipliers(ADMM)is a widely used method for solving many convex minimization models arising in signal and image processing.In this paper,we propose an inertial ADMM for solving a two-block separable convex minimization problem with linear equality constraints.This algorithm is obtained by making use of the inertial Douglas-Rachford splitting algorithm to the corresponding dual of the primal problem.We study the convergence analysis of the proposed algorithm in infinite-dimensional Hilbert spaces.Furthermore,we apply the proposed algorithm on the robust principal component analysis problem and also compare it with other state-of-the-art algorithms.Numerical results demonstrate the advantage of the proposed algorithm.

关 键 词:alternating  direction  method  of  multipliers  inertial  method  Douglas-Rachford  splitting  algorithm
收稿时间:2020/3/12 0:00:00
修稿时间:2020/9/27 0:00:00

An Inertial Alternating Direction Method of Multipliers for Solving a Two-Block Separable Convex Minimization Problem
Yang YANG,Yuchao TANG.An Inertial Alternating Direction Method of Multipliers for Solving a Two-Block Separable Convex Minimization Problem[J].Journal of Mathematical Research with Applications,2021,41(2):204-220.
Authors:Yang YANG  Yuchao TANG
Institution:Department of Mathematics, Nanchang University, Jiangxi 330031, P. R. China
Abstract:The alternating direction method of multipliers (ADMM) is a widely used method for solving many convex minimization models arising in signal and image processing. In this paper, we propose an inertial ADMM for solving a two-block separable convex minimization problem with linear equality constraints. This algorithm is obtained by making use of the inertial Douglas-Rachford splitting algorithm to the corresponding dual of the primal problem. We study the convergence analysis of the proposed algorithm in infinite-dimensional Hilbert spaces. Furthermore, we apply the proposed algorithm on the robust principal component analysis problem and also compare it with other state-of-the-art algorithms. Numerical results demonstrate the advantage of the proposed algorithm.
Keywords:alternating direction method of multipliers  inertial method  Douglas-Rachford splitting algorithm
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