Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112915
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dc.contributorDepartment of Applied Mathematics-
dc.creatorFeng, Y-
dc.creatorHuang, M-
dc.creatorZhang, S-
dc.creatorChao, X-
dc.creatorLin, S-
dc.date.accessioned2025-05-15T06:58:58Z-
dc.date.available2025-05-15T06:58:58Z-
dc.identifier.issn1742-6588-
dc.identifier.urihttp://hdl.handle.net/10397/112915-
dc.description2024 International Conference on Computational Modeling and Applied Mathematics August 2nd to 4th, 2024, in Dalian, Chinaen_US
dc.language.isoenen_US
dc.publisherJournal of physics. Conference seriesen_US
dc.rightsContent from this work may be used under the terms of theCreative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltden_US
dc.rightsThe following publication Feng, Y., Huang, M., Zhang, S., Chao, X., & Lin, S. (2024). A proximal bundle technique for solving equilibrium problems with inexact information. Journal of Physics: Conference Series, 2905(1), 012006 is available at https://dx.doi.org/10.1088/1742-6596/2905/1/012006.en_US
dc.titleA proximal bundle technique for solving equilibrium problems with inexact informationen_US
dc.typeConference Paperen_US
dc.identifier.volume2905-
dc.identifier.issue1-
dc.identifier.doi10.1088/1742-6596/2905/1/012006-
dcterms.abstractIn this study, we describe a bundle approach used to solve the nonsmooth equilibrium problems was described. Firstly, a general algorithm was considered, and the algorithm's validity was demonstrated by showing how it can provide a sequence that converges to an approximate solution for the equilibrium problem. Moreover, in this strategy, using the inaccurate value of the objective function and the approximate gradient of the adjacent points, a proximal bundle algorithm is created to solve equilibrium problems, and the inaccurate value makes the subproblem easy to solve and maintains convergence. So, we find a simpler way to solve the equilibrium problem.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInstitute of Physics Publishing-
dcterms.isPartOfJournal of physics. Conference series-
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85212186522-
dc.relation.conferenceInternational Conference on Computational Modeling and Applied Mathematics-
dc.identifier.eissn1742-6596-
dc.identifier.artn012006-
dc.description.validate202505 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Program of China under No.2022YFB3304600; the International Postdoctoral Exchange Fellowship Program 2020 by the Office of China Postdoctoral Council; the National Natural Science Foundation of China; the Project by China Postdoctoral Science Foundation; the Fundamental Research Funds for the Central Universities of DMU; Dalian Youth Science and Technology Star; the Project by Natural Science Foundation of Hebei Provinceen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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