An iterative method for solving proximal split feasibility problems and fixed point problems

© 2019, SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional. The purpose of this research is to introduce a regularized algorithm based on the viscosity method for solving the proximal split feasibility problem and the fixed point problem in Hilbert spaces. A strong convergence resul...

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Main Authors: Wongvisarut Khuangsatung, Pachara Jailoka, Suthep Suantai
Format: Journal
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/67894
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-678942020-04-02T15:10:28Z An iterative method for solving proximal split feasibility problems and fixed point problems Wongvisarut Khuangsatung Pachara Jailoka Suthep Suantai Mathematics © 2019, SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional. The purpose of this research is to introduce a regularized algorithm based on the viscosity method for solving the proximal split feasibility problem and the fixed point problem in Hilbert spaces. A strong convergence result of our proposed algorithm for finding a common solution of the proximal split feasibility problem and the fixed point problem for nonexpansive mappings is established. We also apply our main result to the split feasibility problem, and the fixed point problem of nonexpansive semigroups, respectively. Finally, we give numerical examples for supporting our main result. 2020-04-02T15:10:28Z 2020-04-02T15:10:28Z 2019-12-01 Journal 18070302 22383603 2-s2.0-85073229749 10.1007/s40314-019-0956-8 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073229749&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67894
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Wongvisarut Khuangsatung
Pachara Jailoka
Suthep Suantai
An iterative method for solving proximal split feasibility problems and fixed point problems
description © 2019, SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional. The purpose of this research is to introduce a regularized algorithm based on the viscosity method for solving the proximal split feasibility problem and the fixed point problem in Hilbert spaces. A strong convergence result of our proposed algorithm for finding a common solution of the proximal split feasibility problem and the fixed point problem for nonexpansive mappings is established. We also apply our main result to the split feasibility problem, and the fixed point problem of nonexpansive semigroups, respectively. Finally, we give numerical examples for supporting our main result.
format Journal
author Wongvisarut Khuangsatung
Pachara Jailoka
Suthep Suantai
author_facet Wongvisarut Khuangsatung
Pachara Jailoka
Suthep Suantai
author_sort Wongvisarut Khuangsatung
title An iterative method for solving proximal split feasibility problems and fixed point problems
title_short An iterative method for solving proximal split feasibility problems and fixed point problems
title_full An iterative method for solving proximal split feasibility problems and fixed point problems
title_fullStr An iterative method for solving proximal split feasibility problems and fixed point problems
title_full_unstemmed An iterative method for solving proximal split feasibility problems and fixed point problems
title_sort iterative method for solving proximal split feasibility problems and fixed point problems
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073229749&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/67894
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