On the Metric Resolvent: Nonexpansiveness, Convergence Rates and Applications On the Metric Resolvent: Nonexpansiveness, Convergence Rates and Applications

In this paper, we study the nonexpansive properties of metric resolvent and present the convergence analysis for the associated fixed-point iterations of both Banach–Picard and Krasnosel’skiĭ–Mann types. A by-product of our expositions also extends the proximity operator and Moreau’s decomposition i...

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Veröffentlicht in:Journal of the Operations Research Society of China (Internet) Jg. 13; H. 4; S. 966 - 988
1. Verfasser: Xue, Feng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025
Springer Nature B.V
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ISSN:2194-668X, 2194-6698
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Abstract In this paper, we study the nonexpansive properties of metric resolvent and present the convergence analysis for the associated fixed-point iterations of both Banach–Picard and Krasnosel’skiĭ–Mann types. A by-product of our expositions also extends the proximity operator and Moreau’s decomposition identity to arbitrary metric. It is further shown that many classes of the first-order operator splitting algorithms, including the alternating direction methods of multipliers, primal–dual hybrid gradient and Bregman iterations, can be expressed by the fixed-point iterations of a simple metric resolvent, and thus, the convergence can be easily obtained within this unified framework.
AbstractList In this paper, we study the nonexpansive properties of metric resolvent and present the convergence analysis for the associated fixed-point iterations of both Banach–Picard and Krasnosel’skiĭ–Mann types. A by-product of our expositions also extends the proximity operator and Moreau’s decomposition identity to arbitrary metric. It is further shown that many classes of the first-order operator splitting algorithms, including the alternating direction methods of multipliers, primal–dual hybrid gradient and Bregman iterations, can be expressed by the fixed-point iterations of a simple metric resolvent, and thus, the convergence can be easily obtained within this unified framework.
Author Xue, Feng
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Metric resolvent
Convergence rates
Operator splitting algorithms
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Nonexpansiveness
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Snippet In this paper, we study the nonexpansive properties of metric resolvent and present the convergence analysis for the associated fixed-point iterations of both...
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crossref
springer
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StartPage 966
SubjectTerms Algorithms
Convergence
Convex analysis
Decomposition
Management Science
Mathematics
Mathematics and Statistics
Operations Research
Subtitle On the Metric Resolvent: Nonexpansiveness, Convergence Rates and Applications
Title On the Metric Resolvent: Nonexpansiveness, Convergence Rates and Applications
URI https://link.springer.com/article/10.1007/s40305-023-00518-9
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Volume 13
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