Convergence analysis of the loping OS-EM algorithm for noisy data*

被引：0
|
作者：
Guo, Yao [1 ]
Fu, Min [1 ]
Wang, Jinping [1 ]
机构：
[1] Ningbo Univ, Sch Math & Stat, Ningbo, Zhejiang, Peoples R China
来源：
COMPLEX VARIABLES AND ELLIPTIC EQUATIONS | 2020年 / 65卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Ill-posed equations; the loping OS-EM method; monotonicity; convergence; EXPECTATION-MAXIMIZATION ALGORITHM;
D O I：
10.1080/17476933.2019.1687456
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, we modify the OS-EM algorithm with an overrelaxation. For noisy data, we focus on the convergence analysis for loping OS-EM algorithm and extend the noisy data in -norm space. We get some results by employing a stopping rule and show weak convergence of the iterates to solution of the equations.
引用
收藏
页码：1871 / 1881
页数：11
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