A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces

In this paper, we study the strong convergence of an algorithm to solve the variational inequality problem which extends a recent paper (Thong et al., Numerical Algorithms. 78, 1045-1060 (2018)). We reduce and refine some of their algorithm conditions and we prove the convergence of the algorithm in...

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Main Authors: Mostafa Ghadampour, Donal O’Regan, Ebrahim Soori, Ravi P. Agarwal
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2021/9911241
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author Mostafa Ghadampour
Donal O’Regan
Ebrahim Soori
Ravi P. Agarwal
author_facet Mostafa Ghadampour
Donal O’Regan
Ebrahim Soori
Ravi P. Agarwal
author_sort Mostafa Ghadampour
collection DOAJ
description In this paper, we study the strong convergence of an algorithm to solve the variational inequality problem which extends a recent paper (Thong et al., Numerical Algorithms. 78, 1045-1060 (2018)). We reduce and refine some of their algorithm conditions and we prove the convergence of the algorithm in the presence of some computational errors. Then, using the MATLAB software, the result will be illustrated with some numerical examples. Also, we compare our algorithm with some other well-known algorithms.
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institution Kabale University
issn 2314-8896
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publishDate 2021-01-01
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spelling doaj-art-8dc01f91ee7640069fc3799338dfc8ce2025-02-03T07:23:53ZengWileyJournal of Function Spaces2314-88962314-88882021-01-01202110.1155/2021/99112419911241A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert SpacesMostafa Ghadampour0Donal O’Regan1Ebrahim Soori2Ravi P. Agarwal3Department of Mathematics, Lorestan University, Lorestan, Khoramabad, IranSchool of Mathematics, Statistics, National University of Ireland, Galway, IrelandDepartment of Mathematics, Lorestan University, Lorestan, Khoramabad, IranDepartment of Mathematics Texas A&M University-Kingsville, 700 University Blvd., MSC 172 Kingsville, Texas, USAIn this paper, we study the strong convergence of an algorithm to solve the variational inequality problem which extends a recent paper (Thong et al., Numerical Algorithms. 78, 1045-1060 (2018)). We reduce and refine some of their algorithm conditions and we prove the convergence of the algorithm in the presence of some computational errors. Then, using the MATLAB software, the result will be illustrated with some numerical examples. Also, we compare our algorithm with some other well-known algorithms.http://dx.doi.org/10.1155/2021/9911241
spellingShingle Mostafa Ghadampour
Donal O’Regan
Ebrahim Soori
Ravi P. Agarwal
A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces
Journal of Function Spaces
title A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces
title_full A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces
title_fullStr A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces
title_full_unstemmed A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces
title_short A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces
title_sort generalized strong convergence algorithm in the presence of errors for variational inequality problems in hilbert spaces
url http://dx.doi.org/10.1155/2021/9911241
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