Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76824
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dc.contributor.authorPanadda Thongpaenen_US
dc.contributor.authorRattanakorn Wattanataweekulen_US
dc.date.accessioned2022-10-16T07:18:52Z-
dc.date.available2022-10-16T07:18:52Z-
dc.date.issued2021-10-02en_US
dc.identifier.issn22277390en_US
dc.identifier.other2-s2.0-85117461381en_US
dc.identifier.other10.3390/math9202619en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117461381&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76824-
dc.description.abstractIn this paper, we introduce a new iterative method using an inertial technique for approximating a common fixed point of an infinite family of nonexpansive mappings in a Hilbert space. The proposed method’s weak convergence theorem was established under some suitable conditions. Furthermore, we applied our main results to solve convex minimization problems and image restoration problems.en_US
dc.subjectMathematicsen_US
dc.titleA fast fixed-point algorithm for convex minimization problems and its application in image restoration problemsen_US
dc.typeJournalen_US
article.title.sourcetitleMathematicsen_US
article.volume9en_US
article.stream.affiliationsUbon Ratchathani Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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