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

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...

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Veröffentlicht in:Complex variables and elliptic equations Jg. 65; H. 11; S. 1871 - 1881
Hauptverfasser: Guo, Yao, Fu, Min, Wang, Jinping
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Colchester Taylor & Francis 01.11.2020
Taylor & Francis Ltd
Schlagworte:
Algorithms
Convergence
Ill-posed equations
monotonicity
the loping OS-EM method
ISSN:1747-6933, 1747-6941
Online-Zugang:Volltext
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Zusammenfassung: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.
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content type line 14
ISSN:1747-6933
1747-6941
DOI:10.1080/17476933.2019.1687456