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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Hindawi Limited
2021
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oai:doaj.org-article:115e672229be40b891a60191d9d02a2c2021-11-15T01:19:19ZAn Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets2314-478510.1155/2021/6252984https://doaj.org/article/115e672229be40b891a60191d9d02a2c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6252984https://doaj.org/toc/2314-4785The 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.Huijuan JiaShufen LiuYazheng DangHindawi LimitedarticleMathematicsQA1-939ENJournal of Mathematics, Vol 2021 (2021) |
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Mathematics QA1-939 |
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Mathematics QA1-939 Huijuan Jia Shufen Liu Yazheng Dang An Inertial Accelerated Algorithm for Solving Split Feasibility Problem with Multiple Output Sets |
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 |
author |
Huijuan Jia Shufen Liu Yazheng Dang |
author_facet |
Huijuan Jia Shufen Liu Yazheng Dang |
author_sort |
Huijuan Jia |
title |
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_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_sort |
inertial accelerated algorithm for solving split feasibility problem with multiple output sets |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/115e672229be40b891a60191d9d02a2c |
work_keys_str_mv |
AT huijuanjia aninertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets AT shufenliu aninertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets AT yazhengdang aninertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets AT huijuanjia inertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets AT shufenliu inertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets AT yazhengdang inertialacceleratedalgorithmforsolvingsplitfeasibilityproblemwithmultipleoutputsets |
_version_ |
1718428966166986752 |