QQMR: A Structure-Preserving Quaternion Quasi-Minimal Residual Method for Non-Hermitian Quaternion Linear Systems

Fuente: arXiv
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Autores principales: Li, Tao, Wang, Qing-Wen, Zhang, Xin-Fang
Formato: Preprint
Publicado: 2024
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author Li, Tao
Wang, Qing-Wen
Zhang, Xin-Fang
author_facet Li, Tao
Wang, Qing-Wen
Zhang, Xin-Fang
contents The quaternion biconjugate gradient (QBiCG) method, as a novel variant of quaternion Lanczos-type methods for solving the non-Hermitian quaternion linear systems, does not yield a minimization property. This means that the method possesses a rather irregular convergence behavior, which leads to numerical instability. In this paper, we propose a new structure-preserving quaternion quasi-minimal residual method, based on the quaternion biconjugate orthonormalization procedure with coupled two-term recurrences, which overcomes the drawback of QBiCG. The computational cost and storage required by the proposed method are much less than the traditional QMR iterations for the real representation of quaternion linear systems. Some convergence properties of which are also established. Finally, we report the numerical results to show the robustness and effectiveness of the proposed method compared with QBiCG.
format Preprint
id arxiv_https___arxiv_org_abs_2402_03624
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle QQMR: A Structure-Preserving Quaternion Quasi-Minimal Residual Method for Non-Hermitian Quaternion Linear Systems
Li, Tao
Wang, Qing-Wen
Zhang, Xin-Fang
Numerical Analysis
15B33, 65F08, 65F10, 94A08
The quaternion biconjugate gradient (QBiCG) method, as a novel variant of quaternion Lanczos-type methods for solving the non-Hermitian quaternion linear systems, does not yield a minimization property. This means that the method possesses a rather irregular convergence behavior, which leads to numerical instability. In this paper, we propose a new structure-preserving quaternion quasi-minimal residual method, based on the quaternion biconjugate orthonormalization procedure with coupled two-term recurrences, which overcomes the drawback of QBiCG. The computational cost and storage required by the proposed method are much less than the traditional QMR iterations for the real representation of quaternion linear systems. Some convergence properties of which are also established. Finally, we report the numerical results to show the robustness and effectiveness of the proposed method compared with QBiCG.
title QQMR: A Structure-Preserving Quaternion Quasi-Minimal Residual Method for Non-Hermitian Quaternion Linear Systems
topic Numerical Analysis
15B33, 65F08, 65F10, 94A08
url https://arxiv.org/abs/2402.03624