Quantitative results for a Tseng-type primal-dual method for composite monotone inclusions

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.

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Publication Details

Journal
Computational Optimization and Applications
Published
2025-12-13
DOI
https://doi.org/10.1007/s10589-025-00744-2
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Quantitative results for a Tseng-type primal-dual method for composite monotone inclusions

Ulrich Kohlenbach, Nicholas Pischke
Computational Optimization and Applications
Optimization and Variational Analysis
article

Quantitative results for a Tseng-type primal-dual method for composite monotone inclusions

Ulrich Kohlenbach, Nicholas Pischke
article en

Abstract

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.

Computational Optimization and ApplicationsVol. 93(3)
Technische Universität Darmstadt (DE)
Openalex Percentile: Top 61%
Optimization and Variational Analysis
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