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This article is cited in 7 scientific papers (total in 7 papers)
General numerical methods
Computing the eigenvectors of nonsymmetric tridiagonal matrices
P. Van Doorena, T. Laudadiob, N. Mastronardib a Department of Mathematical Engineering, Catholic University of Louvain, Louvain-la-Neuve, Belgium
b Istituto per le Applicazioni del Calcolo, Bari, Italy
Abstract:
The computation of the eigenvalue decomposition of matrices is one of the most investigated problems in numerical linear algebra. In particular, real nonsymmetric tridiagonal eigenvalue problems arise in a variety of applications. In this paper the problem of computing an eigenvector corresponding to a known eigenvalue of a real nonsymmetric tridiagonal matrix is considered, developing an algorithm that combines part of a $QR$ sweep and part of a $QL$ sweep, both with the shift equal to the known eigenvalue. The numerical tests show the reliability of the proposed method.
Key words:
nonsymmetric tridiagonal matrices, eigenvectors, Bessel matrices.
Received: 24.11.2020 Revised: 24.11.2020 Accepted: 14.01.2021
Citation:
P. Van Dooren, T. Laudadio, N. Mastronardi, “Computing the eigenvectors of nonsymmetric tridiagonal matrices”, Zh. Vychisl. Mat. Mat. Fiz., 61:5 (2021), 759–775; Comput. Math. Math. Phys., 61:5 (2021), 733–749
Linking options:
https://www.mathnet.ru/eng/zvmmf11236 https://www.mathnet.ru/eng/zvmmf/v61/i5/p759
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