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dc.contributor.authorPaulavičius, Remigijus
dc.contributor.authorŽilinskas, Julius
dc.date.accessioned2023-09-18T17:26:27Z
dc.date.available2023-09-18T17:26:27Z
dc.date.issued2009
dc.identifier.issn1931-6828
dc.identifier.other(BIS)VGT02-000018683
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/123070
dc.description.abstractParallel branch and bound for global Lipschitz minimization is considered. A combination of extreme (infinite and first) and Euclidean norms over a multidimensional simplex is used to evaluate the lower bound. OpenMP has been used to implement the parallel version of the algorithm for multicore computers. The efficiency of the developed parallel algorithm is investigated solving multidimensional test functions for global optimization.eng
dc.formatPDF
dc.format.extentp. 93-102
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbySpringerLink
dc.source.urihttps://doi.org/10.1007/978-0-387-09707-7_8
dc.titleParallel branch and bound algorithm with combination of Lipschitz bounds over multidimensional simplices for multicore computers
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references8
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionMatematikos ir informatikos institutas Lietuvos edukologijos universitetas
dc.contributor.institutionMatematikos ir informatikos institutas Vilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.enGlobal optimization
dcterms.sourcetitleSpringer series in optimization and its applications. Vol. 27. Parallel scientific computing and optimization: advances and application. Workshop of British and Lithuanian Scientists on High Performance Scientific Computing, Druskininkai, Lithuania, Feb 05-08, 2008
dc.publisher.nameSpringer
dc.publisher.cityNew York
dc.identifier.doiVPU02-000006254
dc.identifier.doiLBT02-000033712
dc.identifier.doi000264747200008
dc.identifier.doi10.1007/978-0-387-09707-7_8
dc.identifier.elaba3862393


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