Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/338595 
Year of Publication: 
2025
Citation: 
[Journal:] Computational Optimization and Applications [ISSN:] 1573-2894 [Volume:] 93 [Issue:] 3 [Publisher:] Springer US [Place:] New York, NY [Year:] 2025 [Pages:] 1191-1223
Publisher: 
Springer US, New York, NY
Abstract: 
We provide quantitative results on a seminal Tseng-type primal-dual splitting algorithm for solving monotone inclusions due to Combettes and Pesquet which involves a mixture of sums, linear compositions and parallel sums of set-valued and Lipschitzian operators. For that, we first give quantitative results on a version of Tseng’s forward-backward-forward splitting algorithm including error terms and variable parameters, partially extending previous work of Treusch and Kohlenbach, to which the method of Combettes and Pesquet is then reduced.
Subjects: 
Splitting algorithms
Tseng’s algorithm
Monotone inclusions
Rates of convergence
Rates of metastability
Proof mining
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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