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dc.contributor.authorDang, Y.
dc.contributor.authorAng, M.
dc.contributor.authorSun, Jie
dc.date.accessioned2023-04-16T09:05:23Z
dc.date.available2023-04-16T09:05:23Z
dc.date.issued2023
dc.identifier.citationDang, Y. and Ang, M. and Sun, J. 2023. An inertial triple-projection algorithm for solving the split feasibility problem. Journal of Industrial and Management Optimization. 19 (3): pp. 1813-1826.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/91421
dc.identifier.doi10.3934/jimo.2022019
dc.description.abstract

This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem. The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.

dc.languageEnglish
dc.publisherAMER INST MATHEMATICAL SCIENCES-AIMS
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectPhysical Sciences
dc.subjectEngineering, Multidisciplinary
dc.subjectOperations Research & Management Science
dc.subjectMathematics, Interdisciplinary Applications
dc.subjectEngineering
dc.subjectMathematics
dc.subjectSplit feasibility problem
dc.subjecttriple-projection algorithm
dc.subjectArmijo-type line search
dc.subjectinertial technique
dc.subjectconvergence analysis
dc.subjectCQ ALGORITHM
dc.subjectSETS
dc.titleAn inertial triple-projection algorithm for solving the split feasibility problem
dc.typeJournal Article
dcterms.source.volume19
dcterms.source.number3
dcterms.source.startPage1813
dcterms.source.endPage1826
dcterms.source.issn1547-5816
dcterms.source.titleJournal of Industrial and Management Optimization
dc.date.updated2023-04-16T09:05:23Z
curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidSun, Jie [0000-0001-5611-1672]
curtin.contributor.researcheridSun, Jie [B-7926-2016] [G-3522-2010]
dcterms.source.eissn1553-166X
curtin.contributor.scopusauthoridSun, Jie [16312754600] [57190212842]
curtin.repositoryagreementV3


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