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

DOI10.1080/17476933.2019.1687456zbMath1466.65228OpenAlexW2989228107WikidataQ126806775 ScholiaQ126806775MaRDI QIDQ5856091

Yao Guo, Min Fu, Jin-Ping Wang

Publication date: 24 March 2021

Published in: Complex Variables and Elliptic Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17476933.2019.1687456

zbMATH Keywords

convergence analysismonotone operatorill-posed equationsloping OS-EM method

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical methods for ill-posed problems for integral equations (65R30)

Cites Work

• Unnamed Item
• On the convergence properties of the EM algorithm
• Convergence analysis of an accelerated expectation-maximization algorithm for ill-posed integral equations
• Joint additive Kullback–Leibler residual minimization and regularization for linear inverse problems
• On regularization methods of EM-Kaczmarz type
• The expectation-maximization algorithm for ill-posed integral equations: a convergence analysis
• Accelerating EM for large databases

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