Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71932
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dc.contributor.authorSuthep Suantaien_US
dc.contributor.authorSuparat Kesornpromen_US
dc.contributor.authorNattawut Pholasaen_US
dc.contributor.authorYeol Je Choen_US
dc.contributor.authorPrasit Cholamjiaken_US
dc.date.accessioned2021-01-27T04:18:11Z-
dc.date.available2021-01-27T04:18:11Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn24736988en_US
dc.identifier.other2-s2.0-85099422956en_US
dc.identifier.other10.3934/math.2021163en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099422956&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/71932-
dc.description.abstract© 2021 the Author(s), licensee AIMS Press. In this work, we propose a new relaxed projection algorithm for the split feasibility problem with a new linesearch. The proposed method does not require the computation on the matrix inverse and the largest eigenvalue of the matrix. We then prove some weak convergence theorems under suitable conditions in the framework of Hilbert spaces. Finally, we give some numerical examples in signal processing to validate the theoretical analysis results. The obtained results improve the corresponding results in the literature.en_US
dc.subjectMathematicsen_US
dc.titleA relaxed projection method using a new linesearch for the split feasibility problemen_US
dc.typeJournalen_US
article.title.sourcetitleAIMS Mathematicsen_US
article.volume6en_US
article.stream.affiliationsUniversity of Phayaoen_US
article.stream.affiliationsGyeongsang National Universityen_US
article.stream.affiliationsUniversity of Electronic Science and Technology of Chinaen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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