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: | , , |
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| 格式: | 雜誌 |
| 出版: |
2019
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| 主題: | |
| 在線閱讀: | 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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| 機構: | Chiang Mai University |
| 總結: | © 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. |
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