An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces

In this paper, we propose an iterative scheme for a special split feasibility problem with the maximal monotone operator and fixed-point problem in Banach spaces. The algorithm implements Halpern’s iteration with an inertial technique for the problem. Under some mild assumption of the monotonicity o...

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Main Authors: Huijuan Jia, Shufen Liu, Yazheng Dang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/9974351
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author Huijuan Jia
Shufen Liu
Yazheng Dang
author_facet Huijuan Jia
Shufen Liu
Yazheng Dang
author_sort Huijuan Jia
collection DOAJ
description In this paper, we propose an iterative scheme for a special split feasibility problem with the maximal monotone operator and fixed-point problem in Banach spaces. The algorithm implements Halpern’s iteration with an inertial technique for the problem. Under some mild assumption of the monotonicity of the related mapping, we establish the strong convergence of the sequence generated by the algorithm which does not require the spectral radius of ATA. Finally, the numerical example is presented to demonstrate the efficiency of the algorithm.
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institution Kabale University
issn 2314-4629
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-2a3bf9af3aef42a185b0ee2f24477bc32025-02-03T06:46:14ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/99743519974351An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach SpacesHuijuan Jia0Shufen Liu1Yazheng Dang2College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Chaoyang District, Changchun 130012, ChinaCollege of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Chaoyang District, Changchun 130012, ChinaSchool of Business, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, Shanghai 200093, ChinaIn this paper, we propose an iterative scheme for a special split feasibility problem with the maximal monotone operator and fixed-point problem in Banach spaces. The algorithm implements Halpern’s iteration with an inertial technique for the problem. Under some mild assumption of the monotonicity of the related mapping, we establish the strong convergence of the sequence generated by the algorithm which does not require the spectral radius of ATA. Finally, the numerical example is presented to demonstrate the efficiency of the algorithm.http://dx.doi.org/10.1155/2021/9974351
spellingShingle Huijuan Jia
Shufen Liu
Yazheng Dang
An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces
Journal of Mathematics
title An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces
title_full An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces
title_fullStr An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces
title_full_unstemmed An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces
title_short An Inertial Iterative Algorithm with Strong Convergence for Solving Modified Split Feasibility Problem in Banach Spaces
title_sort inertial iterative algorithm with strong convergence for solving modified split feasibility problem in banach spaces
url http://dx.doi.org/10.1155/2021/9974351
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AT yazhengdang aninertialiterativealgorithmwithstrongconvergenceforsolvingmodifiedsplitfeasibilityprobleminbanachspaces
AT huijuanjia inertialiterativealgorithmwithstrongconvergenceforsolvingmodifiedsplitfeasibilityprobleminbanachspaces
AT shufenliu inertialiterativealgorithmwithstrongconvergenceforsolvingmodifiedsplitfeasibilityprobleminbanachspaces
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