On Eigenvector Computation and Eigenvalue Reordering for the Non-Hermitian Quaternion Eigenvalue Problem

Fuente: arXiv
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Auteurs principaux: Jia, Zhigang, Shao, Meiyue, Shao, Yanjun
Format: Preprint
Publié: 2025
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author Jia, Zhigang
Shao, Meiyue
Shao, Yanjun
author_facet Jia, Zhigang
Shao, Meiyue
Shao, Yanjun
contents In this paper we present several additions to the quaternion QR algorithm, including algorithms for eigenvector computation and eigenvalue reordering. A key outcome of the eigenvalue reordering algorithm is that the aggressive early deflation (AED) technique, which significantly enhances the convergence of the QR algorithm, is successfully applied to the quaternion eigenvalue problem. We conduct numerical experiments to demonstrate the efficiency and effectiveness of the proposed algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2511_02232
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Eigenvector Computation and Eigenvalue Reordering for the Non-Hermitian Quaternion Eigenvalue Problem
Jia, Zhigang
Shao, Meiyue
Shao, Yanjun
Numerical Analysis
In this paper we present several additions to the quaternion QR algorithm, including algorithms for eigenvector computation and eigenvalue reordering. A key outcome of the eigenvalue reordering algorithm is that the aggressive early deflation (AED) technique, which significantly enhances the convergence of the QR algorithm, is successfully applied to the quaternion eigenvalue problem. We conduct numerical experiments to demonstrate the efficiency and effectiveness of the proposed algorithms.
title On Eigenvector Computation and Eigenvalue Reordering for the Non-Hermitian Quaternion Eigenvalue Problem
topic Numerical Analysis
url https://arxiv.org/abs/2511.02232