Some Algorithms Providing Rigorous Bounds for the Eigenvalues of a Matrix

dc.creatorPavec,Raymond
dc.date1995
dc.date.accessioned2024-02-06T12:47:52Z
dc.date.available2024-02-06T12:47:52Z
dc.descriptionThree algorithms providing rigourous bounds for the eigenvalues of a real matrix are presented. The first is an implementation of the bisection algorithm for a symmetric tridiagonal matrix using IEEE floating-point arithmetic. The two others use interval arithmetic with directed rounding and are deduced from the Jacobi method for a symmetric matrix and the Jacobi-like method of Eberlein for an unsymmetric matrix.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-001-07-0548
dc.identifierhttps://lib.jucs.org/article/27147/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/6832
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 1(7): 548-559
dc.titleSome Algorithms Providing Rigorous Bounds for the Eigenvalues of a Matrix
dc.typeResearch Article
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