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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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) |
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DOAJ |
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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 |
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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 |
work_keys_str_mv |
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1718394643584909312 |