1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1989
DC FieldValueLanguage
dc.contributor.authorGatu, Cristian-
dc.contributor.authorKontoghiorghes, Erricos John-
dc.contributor.otherΚοντογιώργης, Έρρικος Γιάννης-
dc.date.accessioned2013-01-30T13:42:20Zen
dc.date.accessioned2013-05-16T08:22:25Z-
dc.date.accessioned2015-12-02T09:32:38Z-
dc.date.available2013-01-30T13:42:20Zen
dc.date.available2013-05-16T08:22:25Z-
dc.date.available2015-12-02T09:32:38Z-
dc.date.issued2003-04-
dc.identifier.citationParallel Computing, 2003, vol. 29, no. 4, pp. 505-521en_US
dc.identifier.issn1678191-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1989-
dc.description.abstractEfficient parallel algorithms for computing all possible subset regression models are proposed. The algorithms are based on the dropping columns method that generates a regression tree. The properties of the tree are exploited in order to provide an efficient load balancing which results in no inter-processor communication. Theoretical measures of complexity suggest linear speedup. The parallel algorithms are extended to deal with the general linear and seemingly unrelated regression models. The case where new variables are added to the regression model is also considered. Experimental results on a shared memory machine are presented and analyzed.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofParallel Computingen_US
dc.rights© Elsevieren_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectParallel algorithmsen_US
dc.subjectMathematical modelsen_US
dc.subjectParallel algorithmsen_US
dc.subjectRegression analysisen_US
dc.titleParallel algorithms for computing all possible subset regression models using the qr decompositionen_US
dc.typeArticleen_US
dc.collaborationUniversité de Neuchâtelen_US
dc.subject.categoryEconomics and Businessen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/S0167-8191(03)00019-Xen_US
dc.dept.handle123456789/54en
dc.relation.issue4en_US
dc.relation.volume29en_US
cut.common.academicyear2002-2003en_US
dc.identifier.spage505en_US
dc.identifier.epage521en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.journal.journalissn0167-8191-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Finance, Accounting and Management Science-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.orcid0000-0001-9704-9510-
crisitem.author.parentorgFaculty of Management and Economics-
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