Journal of Computational and Applied Mathematics2022,Vol.40615.DOI:10.1016/j.cam.2021.114042

Computing eigenvalues of quasi-generalized Vandermonde matrices to high relative accuracy

Yang, Zhao
Journal of Computational and Applied Mathematics2022,Vol.40615.DOI:10.1016/j.cam.2021.114042

Computing eigenvalues of quasi-generalized Vandermonde matrices to high relative accuracy

Yang, Zhao1
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作者信息

  • 1. Shaanxi Univ Technol
  • 折叠

Abstract

In this paper, the eigenvalue problem for the class of quasi-generalized Vandermonde (q-gV) matrices is considered. In order to parameterize q-gV matrices, the explicit expressions of minors of such matrices are presented. We develop an algorithm to accurately compute the parameterization for q-gV matrices. Relying on the accurate parameterization, all the eigenvalues of q-gV matrices are computed to high relative accuracy. Error analysis and numerical experiments are provided to confirm the high relative accuracy. (C)& nbsp;2021 Elsevier B.V. All rights reserved.& nbsp;

Key words

Eigenvalues/Quasi-generalized Vandermonde matrix/Generalized sign regular matrices/Parameterization/High relative accuracy/SINGULAR-VALUES/LINEAR-SYSTEMS/COMPUTATIONS/FACTORIZATION/DECOMPOSITION/ALGORITHMS

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量3
参考文献量48
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