On deflations in extended QR algorithms

dc.contributor.authorMach, Thomas
dc.contributor.authorVandebril, Raf
dc.date.accessioned2017-01-11T03:46:37Z
dc.date.available2017-01-11T03:46:37Z
dc.date.issued2014
dc.description.abstractIn this paper we discuss the deflation criterion used in the extended QR algorithm based on the chasing of rotations. We provide absolute and relative perturbation bounds for this deflation criterion. Further, we present a generalization of aggressive early deflation to the extended QR algorithms. Aggressive early deflation is the key technique for the identification and deflation of already converged, but hidden, eigenvalues. Often these possibilities for deflation are not detected by the standard technique. We present numerical results underpinning the power of aggressive early deflation also in the context of extended QR algorithms. We further generalize these ideas by the transcription of middle deflations. © 2014 Society for Industrial and Applied Mathematics.ru_RU
dc.identifier.citationMach, T., & Vandebril, R. (2014). On deflations in extended QR algorithms. SIAM Journal on Matrix Analysis and Applications, 35(2), 559-579. DOI: 10.1137/130935665ru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/2232
dc.language.isoenru_RU
dc.publisherSIAM Journal on Matrix Analysis and Applicationsru_RU
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectaggressive early deflationsru_RU
dc.subjectdeflationru_RU
dc.subjectextended Hessenberg matricesru_RU
dc.subjectextended QR algorithmsru_RU
dc.subjectmiddle deflationsru_RU
dc.subjectperturbation boundsru_RU
dc.subjectrotationsru_RU
dc.titleOn deflations in extended QR algorithmsru_RU
dc.typeArticleru_RU

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