Tseng methods with inertial for solving inclusion problems and application to image deblurring and image recovery problems

In this article, we offer two modifications of the modified forward‐backward splitting method based on inertial Tseng method and viscosity method for inclusion problems in real Hilbert spaces. Under standard assumptions, such as Lipschitz continuity and monotonicity (also maximal monotonicity), we e...

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Vydané v:Computational and mathematical methods Ročník 3; číslo 3
Hlavní autori: Padcharoen, Anantachai, Kitkuan, Duangkamon, Kumam, Wiyada, Kumam, Poom
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 01.05.2021
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ISSN:2577-7408, 2577-7408
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Abstract In this article, we offer two modifications of the modified forward‐backward splitting method based on inertial Tseng method and viscosity method for inclusion problems in real Hilbert spaces. Under standard assumptions, such as Lipschitz continuity and monotonicity (also maximal monotonicity), we establish weak and strong convergence of the proposed algorithms. We give the numerical experiments to show the efficiency and advantage of the proposed methods and we also used our proposed algorithm for solving the image deblurring and image recovery problems. Our result extends some related works in the literature and the primary experiments might also suggest their potential applicability.
AbstractList In this article, we offer two modifications of the modified forward‐backward splitting method based on inertial Tseng method and viscosity method for inclusion problems in real Hilbert spaces. Under standard assumptions, such as Lipschitz continuity and monotonicity (also maximal monotonicity), we establish weak and strong convergence of the proposed algorithms. We give the numerical experiments to show the efficiency and advantage of the proposed methods and we also used our proposed algorithm for solving the image deblurring and image recovery problems. Our result extends some related works in the literature and the primary experiments might also suggest their potential applicability.
Author Kumam, Wiyada
Padcharoen, Anantachai
Kumam, Poom
Kitkuan, Duangkamon
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  surname: Kitkuan
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  orcidid: 0000-0001-8773-4821
  surname: Kumam
  fullname: Kumam, Wiyada
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  givenname: Poom
  orcidid: 0000-0002-5463-4581
  surname: Kumam
  fullname: Kumam, Poom
  organization: King Mongkut's University of Technology Thonburi (KMUTT)
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Snippet In this article, we offer two modifications of the modified forward‐backward splitting method based on inertial Tseng method and viscosity method for inclusion...
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SubjectTerms Algorithms
forward‐backward algorithm
forward‐backward splitting method
Hilbert space
image recovery problems
Recovery
viscosity method zero point
Title Tseng methods with inertial for solving inclusion problems and application to image deblurring and image recovery problems
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fcmm4.1088
https://www.proquest.com/docview/2518052389
Volume 3
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