New hybrid algorithms for global minimization of common best proximity points of some generalized nonexpansive mappings
© 2019, University of Nis. All rights reserved. In this paper, we introduce two hybrid algorithms for finding a common best proximity point of two best proximally nonexpansive mappings. We establish strong convergence theorems of the proposed algorithms under some control conditions in a real Hilber...
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| Main Authors: | , |
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| Format: | Journal |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078289053&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67911 |
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| Institution: | Chiang Mai University |
| Summary: | © 2019, University of Nis. All rights reserved. In this paper, we introduce two hybrid algorithms for finding a common best proximity point of two best proximally nonexpansive mappings. We establish strong convergence theorems of the proposed algorithms under some control conditions in a real Hilbert space. Moreover, some numerical examples are given for supporting our main theorems. |
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