Minimal residual rational Krylov subspace method for sequences of shifted linear systems

Fuente: arXiv
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Main Authors: Daas, Hussam Al, Palitta, Davide
Format: Preprint
Published: 2025
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author Daas, Hussam Al
Palitta, Davide
author_facet Daas, Hussam Al
Palitta, Davide
contents The solution of sequences of shifted linear systems is a classic problem in numerical linear algebra, and a variety of efficient methods have been proposed over the years. Nevertheless, there still exist challenging scenarios witnessing a lack of performing solvers. For instance, state-of-the-art procedures struggle to handle nonsymmetric problems where the shifts are complex numbers that do not come as conjugate pairs. We design a novel projection strategy based on the rational Krylov subspace equipped with a minimal residual condition. We also devise a novel pole selection procedure, tailored to our problem, providing poles for the rational Krylov basis construction that yield faster convergence than those computed by available general-purpose schemes. A panel of diverse numerical experiments shows that our novel approach performs better than state-of-the-art techniques, especially on the very challenging problems mentioned above.
format Preprint
id arxiv_https___arxiv_org_abs_2507_00267
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Minimal residual rational Krylov subspace method for sequences of shifted linear systems
Daas, Hussam Al
Palitta, Davide
Numerical Analysis
The solution of sequences of shifted linear systems is a classic problem in numerical linear algebra, and a variety of efficient methods have been proposed over the years. Nevertheless, there still exist challenging scenarios witnessing a lack of performing solvers. For instance, state-of-the-art procedures struggle to handle nonsymmetric problems where the shifts are complex numbers that do not come as conjugate pairs. We design a novel projection strategy based on the rational Krylov subspace equipped with a minimal residual condition. We also devise a novel pole selection procedure, tailored to our problem, providing poles for the rational Krylov basis construction that yield faster convergence than those computed by available general-purpose schemes. A panel of diverse numerical experiments shows that our novel approach performs better than state-of-the-art techniques, especially on the very challenging problems mentioned above.
title Minimal residual rational Krylov subspace method for sequences of shifted linear systems
topic Numerical Analysis
url https://arxiv.org/abs/2507.00267