Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/2045
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dc.contributor.authorISTRATI, Danielaen_US
dc.contributor.authorMORARU, Vasileen_US
dc.contributor.authorZAPOROJAN, Sergiuen_US
dc.date.accessioned2023-11-29T13:00:43Z-
dc.date.available2023-11-29T13:00:43Z-
dc.date.issued2022-
dc.identifier.citationIstrati, D., Moraru, V., & Zaporojan, S. (2022). A Method for Binary Quadratic Programming with Circulant Matrix. Proceedings of the 12th International Conference on “Electronics, Communications and Computing".en_US
dc.identifier.urihttps://www.semanticscholar.org/paper/A-Method-for-Binary-Quadratic-Programming-with-Istrati-Moraru/1cc47cb5e8fa4fe7f2aaec4486abd913516abbc9-
dc.identifier.urihttp://cris.utm.md/handle/5014/2045-
dc.description.abstractBinary quadratic programming is a classical combinatorial optimization problem that has many real-world applications. This paper presents a method for solving the quadratic programming problem with circulant matrix by reformulating and relaxing it into a separable optimization problem. The proposed method determines local suboptimal solutions. To solve the relaxing problem, the DCA algorithm it is proposed to calculate the solutions, in the general case, only local suboptimal.en_US
dc.language.isoenen_US
dc.subjectBinary nonconvex quadratic problemsen_US
dc.subjectcirculant matrixen_US
dc.subjectFourier matrixen_US
dc.subjectseparable programmingen_US
dc.subjectrelaxed problemen_US
dc.subjectDC algorithmen_US
dc.titleA Method for Binary Quadratic Programming with Circulant Matrixen_US
dc.typeArticleen_US
dc.relation.conferenceElectronics, Communications and Computingen_US
item.languageiso639-1other-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.orcid0000-0001-5928-4229-
Appears in Collections:Proceedings Papers
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