A Family of Multi-Parameterized Proximal Point Algorithms

doi:10.1109/ACCESS.2019.2952155

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	A Family of Multi-Parameterized Proximal Point Algorithms
	Bai, Jianchao 3; Guo, Ke 2; Chang, Xiaokai 1
刊名	IEEE Access
	2019
卷号	7 页码:164021-164028
关键词	Convex optimization Numerical methods Parameter estimation Variational techniques Well testing complexity Convex minimization Global conver-gence Linear constraints Minimization problems Numerical experiments Proximal point algorithm Variational inequalities
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2952155
英文摘要	In this paper, a multi-parameterized proximal point algorithm combining with a relaxation step is developed for solving convex minimization problem subject to linear constraints. We show its global convergence and sublinear convergence rate from the prospective of variational inequality. Preliminary numerical experiments on testing a sparse minimization problem from signal processing indicate that the proposed algorithm performs better than some well-established methods. © 2013 IEEE.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc., United States
WOS记录号	WOS:000509475800005
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114720]
专题	理学院
作者单位	1.School of Science, Lanzhou University of Technology, Lanzhou; 730050, China 2.School of Mathematics and Information, China West Normal University, Nanchong; 637002, China; 3.Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an; 710129, China;
推荐引用方式 GB/T 7714	Bai, Jianchao,Guo, Ke,Chang, Xiaokai. A Family of Multi-Parameterized Proximal Point Algorithms[J]. IEEE Access,2019,7:164021-164028.
APA	Bai, Jianchao,Guo, Ke,&Chang, Xiaokai.(2019).A Family of Multi-Parameterized Proximal Point Algorithms.IEEE Access,7,164021-164028.
MLA	Bai, Jianchao,et al."A Family of Multi-Parameterized Proximal Point Algorithms".IEEE Access 7(2019):164021-164028.