典型文献
On a New Analysis Framework for the Linear Convergence of Relaxed Operator Splitting Methods
文献摘要：
In this paper,we propose a new analysis framework to study the linear conver-gence of relaxed operator splitting methods,which can be viewed as an extension of the classic Krasnosel'skii-Mann iteration and Banach-Picard contraction.As applications,we derive the lin-ear convergence of the generalized proximal point algorithm and the relaxed forward-backward splitting method in a simple and elegant way.
文献关键词：
中图分类号：
作者姓名：
Qingjing LI;Ke GUO
作者机构：
School of Mathematics and Information,China West Normal University,Sichuan 637002,P.R.China
文献出处：
引用格式：
[1]Qingjing LI;Ke GUO-.On a New Analysis Framework for the Linear Convergence of Relaxed Operator Splitting Methods)[J].数学研究及应用,2022(02):199-205
A类：
Relaxed
B类：
On,New,Analysis,Framework,Linear,Convergence,Operator,Splitting,Methods,In,this,paper,propose,new,analysis,framework,study,linear,relaxed,operator,splitting,methods,which,can,be,viewed,extension,classic,Krasnosel,skii,Mann,iteration,Banach,Picard,contraction,applications,derive,convergence,generalized,proximal,point,algorithm,forward,backward,simple,elegant,way
AB值：
0.701177
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