Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65536
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dc.contributor.authorRaweerote Suparatulatornen_US
dc.contributor.authorAnchalee Khempheten_US
dc.contributor.authorPhakdi Charoensawanen_US
dc.contributor.authorSuthep Suantaien_US
dc.contributor.authorNarawadee Phudolsitthiphaten_US
dc.date.accessioned2019-08-05T04:35:06Z-
dc.date.available2019-08-05T04:35:06Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn10290265en_US
dc.identifier.issn00207160en_US
dc.identifier.other2-s2.0-85066612381en_US
dc.identifier.other10.1080/00207160.2019.1622687en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066612381&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65536-
dc.description.abstract© 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleGeneralized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problemen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Computer Mathematicsen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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