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Bibliographic Details
Main Author: He, Yunhui
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.10248
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author He, Yunhui
author_facet He, Yunhui
contents In this work, we analyze the asymptotic convergence factor of minimal residual iteration (MRI) (or GMRES(1)) for solving linear systems $Ax=b$ based on vector-dependent nonlinear eigenvalue problems. The worst-case root-convergence factor is derived for linear systems with $A$ being symmetric or $I-A$ being skew-symmetric. When $A$ is symmetric, the asymptotic convergence factor highly depends on the initial guess. While $M=I-A$ is skew-symmetric, GMRES(1) converges unconditionally and the worst-case root-convergence factor relies solely on the spectral radius of $M$. We also derive the q-linear convergence factor, which is the same as the worst-case root-convergence factor. Numerical experiments are presented to validate our theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2501_10248
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The worst-case root-convergence factor of GMRES(1)
He, Yunhui
Numerical Analysis
65F10, 15A18
In this work, we analyze the asymptotic convergence factor of minimal residual iteration (MRI) (or GMRES(1)) for solving linear systems $Ax=b$ based on vector-dependent nonlinear eigenvalue problems. The worst-case root-convergence factor is derived for linear systems with $A$ being symmetric or $I-A$ being skew-symmetric. When $A$ is symmetric, the asymptotic convergence factor highly depends on the initial guess. While $M=I-A$ is skew-symmetric, GMRES(1) converges unconditionally and the worst-case root-convergence factor relies solely on the spectral radius of $M$. We also derive the q-linear convergence factor, which is the same as the worst-case root-convergence factor. Numerical experiments are presented to validate our theoretical results.
title The worst-case root-convergence factor of GMRES(1)
topic Numerical Analysis
65F10, 15A18
url https://arxiv.org/abs/2501.10248