The symmetric tridiagonal eigenproblem on a shared memory multiprocessor: Part I

dc.contributor.authorKaya, D
dc.date.accessioned2026-08-12T17:45:03Z
dc.date.issued2004
dc.departmentFırat Üniversitesi
dc.description.abstractThe article presents an experimental evaluation of the effect of deflation on accuracy. A number of test matrices were used to test Cuppen's algorithm since the amount of deflation in this method depends on the test matrix. The motivation for a non-recursive version was to compare this with the recursive version and to investigate the relationship between the recursive and non-recursive implementations of Cuppen's divide-and-conquer method. We have concentrated in particular on algorithms written in the C++ programming language. C++ is an object-oriented programming language, which can provide various types of matrix classes. The use of C++ implies some storage organisation for array elements. The primitive arrays provided in C++ use storage by rows. As far as we are aware there is little previous work on parallelising these algorithms using C++. Consequently in this work we have considered implementation of the serial using the objectoriented programming language C++. (C) 2003 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.amc.2003.07.009
dc.identifier.endpage209
dc.identifier.issn0096-3003
dc.identifier.issue1
dc.identifier.scopus2-s2.0-3843082809
dc.identifier.scopusqualityQ1
dc.identifier.startpage189
dc.identifier.urihttps://doi.org/10.1016/j.amc.2003.07.009
dc.identifier.urihttps://hdl.handle.net/11508/60527
dc.identifier.volume156
dc.identifier.wosWOS:000224008900016
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofApplied Mathematics and Computation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectthe symmetric tridiagonal eigenproblem
dc.subjectCuppen's method
dc.subjectThe C plus plus programming language
dc.titleThe symmetric tridiagonal eigenproblem on a shared memory multiprocessor: Part I
dc.typeArticle

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