A parallel subgradient method extended to variational inequalities involving nonexpansive mappings

In this paper, we propose and analyze the convergence of new iteration methods for finding a common point of the solution set of a class of pseudomonotone variational inequalities and the fixed point set of a finite system of nonexpansive mappings in a real Hilbert space. The idea of this algorithm...

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Veröffentlicht in:Applicable analysis Jg. 99; H. 16; S. 2776 - 2792
Hauptverfasser: Anh, Pham Ngoc, Hien, Nguyen Duc, Phuong, Ngo Xuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 09.12.2020
Taylor & Francis Ltd
Schlagworte:
47 J25
49 J35
65 K10
90 C25
Algorithms
B. Mordukhovich
Convergence
Fixed point
Hilbert space
Inequalities
Iterative methods
nonexpansive mapping
pseudomonotonicity
subgradient projection method
variational inequality
ISSN:0003-6811, 1563-504X
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Zusammenfassung:In this paper, we propose and analyze the convergence of new iteration methods for finding a common point of the solution set of a class of pseudomonotone variational inequalities and the fixed point set of a finite system of nonexpansive mappings in a real Hilbert space. The idea of this algorithm is to combine the subgradient method with the parallel splitting-up techniques. The main iteration step in the proposed methods uses only one projection and does not require any Lipschitz continuous condition for the cost mapping. The convergent results are also extended to a pseudomonotone equilibrium problem involving a finite system of nonexpansive mappings. Finally, some numerical examples are developed to illustrate the behavior of the new algorithms with respect to existing algorithms.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0003-6811
1563-504X
DOI:10.1080/00036811.2019.1584288