Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms

© 2019, The Royal Academy of Sciences, Madrid. In this paper, we construct a novel algorithm for the split common fixed point problem for two demicontractive operators in Hilbert spaces. By using inertial self-adaptive algorithms, we obtain strong convergence results for finding a solution of the sp...

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Main Authors: Raweerote Suparatulatorn, Suthep Suantai, Narawadee Phudolsitthiphat
Format: Journal
Published: 2019
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/65691
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-656912019-08-05T04:39:37Z Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms Raweerote Suparatulatorn Suthep Suantai Narawadee Phudolsitthiphat Mathematics © 2019, The Royal Academy of Sciences, Madrid. In this paper, we construct a novel algorithm for the split common fixed point problem for two demicontractive operators in Hilbert spaces. By using inertial self-adaptive algorithms, we obtain strong convergence results for finding a solution of the split common fixed point problems. Applications to solving the split minimization problem and the split feasibility problem are included. Our results extend and generalize many previously known results in this research area. Moreover, numerical experiments are supplied to demonstrate the convergence behavior and efficiency of the proposed algorithm. 2019-08-05T04:39:37Z 2019-08-05T04:39:37Z 2019-01-01 Journal 15791505 15787303 2-s2.0-85065012997 10.1007/s13398-019-00676-7 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065012997&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65691
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Raweerote Suparatulatorn
Suthep Suantai
Narawadee Phudolsitthiphat
Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
description © 2019, The Royal Academy of Sciences, Madrid. In this paper, we construct a novel algorithm for the split common fixed point problem for two demicontractive operators in Hilbert spaces. By using inertial self-adaptive algorithms, we obtain strong convergence results for finding a solution of the split common fixed point problems. Applications to solving the split minimization problem and the split feasibility problem are included. Our results extend and generalize many previously known results in this research area. Moreover, numerical experiments are supplied to demonstrate the convergence behavior and efficiency of the proposed algorithm.
format Journal
author Raweerote Suparatulatorn
Suthep Suantai
Narawadee Phudolsitthiphat
author_facet Raweerote Suparatulatorn
Suthep Suantai
Narawadee Phudolsitthiphat
author_sort Raweerote Suparatulatorn
title Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
title_short Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
title_full Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
title_fullStr Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
title_full_unstemmed Reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
title_sort reckoning solution of split common fixed point problems by using inertial self-adaptive algorithms
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065012997&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65691
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