Publication:
A Self-Adaptive Step Size Algorithm for Solving Variational Inequalities with the Split Feasibility Problem with Multiple Output Sets Constraints

datacite.subject.fos oecd::Natural sciences::Mathematics
dc.contributor.author Tran Luu Cuong
dc.contributor.author Tran Viet Anh
dc.contributor.author Le Huynh My Van
dc.date.accessioned 2022-11-09T07:50:37Z
dc.date.available 2022-11-09T07:50:37Z
dc.date.issued 2022
dc.description.abstract In this paper, we investigate the problem of solving strongly monotone variational inequality problems over the solution set of the split feasibility problem with multiple output sets in real Hilbert spaces. The strong convergence of the proposed algorithm is proved without knowing any information of the Lipschitz and strongly monotone constants of the mapping. In addition, the implementation of the algorithm does not require the computation or estimation of the norms of the given bounded linear operators. Special cases are considered. Finally, a numerical experiment has been carried out to illustrate the proposed algorithm.
dc.identifier.doi 10.1080/01630563.2022.2071939
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/1066
dc.language.iso en_US
dc.relation.ispartof Numerical Functional Analysis and Optimization
dc.relation.issn 0163-0563
dc.relation.issn 1532-2467
dc.subject Variational inequality
dc.subject self-adaptive
dc.subject strong convergence
dc.title A Self-Adaptive Step Size Algorithm for Solving Variational Inequalities with the Split Feasibility Problem with Multiple Output Sets Constraints
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 9
oaire.citation.volume 43
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