An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets

The paper proposes an inertial accelerated algorithm for solving split feasibility problem with multiple output sets. To improve the feasibility, the algorithm involves computing of projections onto relaxed sets (half spaces) instead of computing onto the closed convex sets, and it does not require...

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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/10.1155/2021/6252984
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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 The paper proposes an inertial accelerated algorithm for solving split feasibility problem with multiple output sets. To improve the feasibility, the algorithm involves computing of projections onto relaxed sets (half spaces) instead of computing onto the closed convex sets, and it does not require calculating matrix inverse. To accelerate the convergence, the algorithm adopts self-adaptive rules and incorporates inertial technique. The strong convergence is shown under some suitable conditions. In addition, some newly derived results are presented for solving the split feasibility problem and split feasibility problem with multiple output sets. Finally, numerical experiments illustrate that the algorithm converges more quickly than some existing algorithms. Our results extend and improve some methods in the literature.
format Article
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institution Kabale University
issn 2314-4785
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-115e672229be40b891a60191d9d02a2c2025-02-03T01:28:54ZengWileyJournal of Mathematics2314-47852021-01-01202110.1155/2021/6252984An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output SetsHuijuan Jia0Shufen Liu1Yazheng Dang2College of Computer Science and TechnologyCollege of Computer Science and TechnologyDepartment of ManagementThe paper proposes an inertial accelerated algorithm for solving split feasibility problem with multiple output sets. To improve the feasibility, the algorithm involves computing of projections onto relaxed sets (half spaces) instead of computing onto the closed convex sets, and it does not require calculating matrix inverse. To accelerate the convergence, the algorithm adopts self-adaptive rules and incorporates inertial technique. The strong convergence is shown under some suitable conditions. In addition, some newly derived results are presented for solving the split feasibility problem and split feasibility problem with multiple output sets. Finally, numerical experiments illustrate that the algorithm converges more quickly than some existing algorithms. Our results extend and improve some methods in the literature.http://dx.doi.org/10.1155/2021/6252984
spellingShingle Huijuan Jia
Shufen Liu
Yazheng Dang
An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets
Journal of Mathematics
title An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets
title_full An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets
title_fullStr An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets
title_full_unstemmed An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets
title_short An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets
title_sort inertial accelerated algorithm for solving split feasibility problem with multiple output sets
url http://dx.doi.org/10.1155/2021/6252984
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AT shufenliu aninertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets
AT yazhengdang aninertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets
AT huijuanjia inertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets
AT shufenliu inertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets
AT yazhengdang inertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets