Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. In this work, we introduce a self-adaptive algorithm, based on viscosity approximation methods, to solve split common fixed point problems of demicontractive operators in real Hilbert spaces. Besides, the strong convergence...
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th-cmuir.6653943832-655362019-08-05T04:39:38Z Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem Raweerote Suparatulatorn Anchalee Khemphet Phakdi Charoensawan Suthep Suantai Narawadee Phudolsitthiphat Computer Science Mathematics © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. In this work, we introduce a self-adaptive algorithm, based on viscosity approximation methods, to solve split common fixed point problems of demicontractive operators in real Hilbert spaces. Besides, the strong convergence theorem for the algorithm is established under some additional assumptions. On top of that, numerical results on image restoration problems are given. It shows that our proposed algorithm is efficient and outperforms the other algorithms for this experiment. 2019-08-05T04:35:06Z 2019-08-05T04:35:06Z 2019-01-01 Journal 10290265 00207160 2-s2.0-85066612381 10.1080/00207160.2019.1622687 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066612381&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65536 |
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Computer Science Mathematics Raweerote Suparatulatorn Anchalee Khemphet Phakdi Charoensawan Suthep Suantai Narawadee Phudolsitthiphat Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
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© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. In this work, we introduce a self-adaptive algorithm, based on viscosity approximation methods, to solve split common fixed point problems of demicontractive operators in real Hilbert spaces. Besides, the strong convergence theorem for the algorithm is established under some additional assumptions. On top of that, numerical results on image restoration problems are given. It shows that our proposed algorithm is efficient and outperforms the other algorithms for this experiment. |
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Raweerote Suparatulatorn Anchalee Khemphet Phakdi Charoensawan Suthep Suantai Narawadee Phudolsitthiphat |
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Raweerote Suparatulatorn Anchalee Khemphet Phakdi Charoensawan Suthep Suantai Narawadee Phudolsitthiphat |
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Raweerote Suparatulatorn |
title |
Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
title_short |
Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
title_full |
Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
title_fullStr |
Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
title_full_unstemmed |
Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
title_sort |
generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem |
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2019 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066612381&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65536 |
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