A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications

Abstract Let X be a uniformly convex and uniformly smooth real Banach space with dual space X∗ $X^{*}$. In this paper, a Mann-type iterative algorithm that approximates the zero of a generalized-Φ-strongly monotone map is constructed. A strong convergence theorem for a sequence generated by the algo...

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Autores principales: C. E. Chidume, M. O. Nnakwe, A. Adamu
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Lenguaje:EN
Publicado: SpringerOpen 2019
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Acceso en línea:https://doaj.org/article/9883bb84ed6a4efba6f8d7ad52d0c74d
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spelling oai:doaj.org-article:9883bb84ed6a4efba6f8d7ad52d0c74d2021-12-02T12:10:25ZA strong convergence theorem for generalized-Φ-strongly monotone maps, with applications10.1186/s13663-019-0660-91687-1812https://doaj.org/article/9883bb84ed6a4efba6f8d7ad52d0c74d2019-06-01T00:00:00Zhttp://link.springer.com/article/10.1186/s13663-019-0660-9https://doaj.org/toc/1687-1812Abstract Let X be a uniformly convex and uniformly smooth real Banach space with dual space X∗ $X^{*}$. In this paper, a Mann-type iterative algorithm that approximates the zero of a generalized-Φ-strongly monotone map is constructed. A strong convergence theorem for a sequence generated by the algorithm is proved. Furthermore, the theorem is applied to approximate the solution of a convex optimization problem, a Hammerstein integral equation, and a variational inequality problem. This theorem generalizes, improves, and complements some recent results. Finally, examples of generalized-Φ-strongly monotone maps are constructed and numerical experiments which illustrate the convergence of the sequence generated by our algorithm are presented.C. E. ChidumeM. O. NnakweA. AdamuSpringerOpenarticleGeneralized-Φ-strongly monotone mapOptimization problemHammerstein integral equationVariational inequality problemStrong convergenceApplied mathematics. Quantitative methodsT57-57.97AnalysisQA299.6-433ENFixed Point Theory and Applications, Vol 2019, Iss 1, Pp 1-19 (2019)
institution DOAJ
collection DOAJ
language EN
topic Generalized-Φ-strongly monotone map
Optimization problem
Hammerstein integral equation
Variational inequality problem
Strong convergence
Applied mathematics. Quantitative methods
T57-57.97
Analysis
QA299.6-433
spellingShingle Generalized-Φ-strongly monotone map
Optimization problem
Hammerstein integral equation
Variational inequality problem
Strong convergence
Applied mathematics. Quantitative methods
T57-57.97
Analysis
QA299.6-433
C. E. Chidume
M. O. Nnakwe
A. Adamu
A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications
description Abstract Let X be a uniformly convex and uniformly smooth real Banach space with dual space X∗ $X^{*}$. In this paper, a Mann-type iterative algorithm that approximates the zero of a generalized-Φ-strongly monotone map is constructed. A strong convergence theorem for a sequence generated by the algorithm is proved. Furthermore, the theorem is applied to approximate the solution of a convex optimization problem, a Hammerstein integral equation, and a variational inequality problem. This theorem generalizes, improves, and complements some recent results. Finally, examples of generalized-Φ-strongly monotone maps are constructed and numerical experiments which illustrate the convergence of the sequence generated by our algorithm are presented.
format article
author C. E. Chidume
M. O. Nnakwe
A. Adamu
author_facet C. E. Chidume
M. O. Nnakwe
A. Adamu
author_sort C. E. Chidume
title A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications
title_short A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications
title_full A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications
title_fullStr A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications
title_full_unstemmed A strong convergence theorem for generalized-Φ-strongly monotone maps, with applications
title_sort strong convergence theorem for generalized-φ-strongly monotone maps, with applications
publisher SpringerOpen
publishDate 2019
url https://doaj.org/article/9883bb84ed6a4efba6f8d7ad52d0c74d
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