Polynomial Preconditioning for Indefinite Matrices

Fuente: arXiv
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Main Authors: Henson, Hayden, Morgan, Ronald B.
Format: Preprint
Published: 2025
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author Henson, Hayden
Morgan, Ronald B.
author_facet Henson, Hayden
Morgan, Ronald B.
contents Polynomial preconditioning is an important tool in solving large linear systems and eigenvalue problems. A polynomial from GMRES can be used to precondition restarted GMRES and restarted Arnoldi. Here we give methods for indefinite matrices that make polynomial preconditioning more generally applicable. The new techniques include balancing the polynomial so that it produces a definite spectrum. Then a stability approach is given that is specialized for the indefinite case. Also, very complex spectra are examined. Then convergence estimates are given for polynomial preconditioning of real, indefinite spectra. Finally, tests are preformed of finding interior eigenvalues.
format Preprint
id arxiv_https___arxiv_org_abs_2510_14816
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Polynomial Preconditioning for Indefinite Matrices
Henson, Hayden
Morgan, Ronald B.
Numerical Analysis
Polynomial preconditioning is an important tool in solving large linear systems and eigenvalue problems. A polynomial from GMRES can be used to precondition restarted GMRES and restarted Arnoldi. Here we give methods for indefinite matrices that make polynomial preconditioning more generally applicable. The new techniques include balancing the polynomial so that it produces a definite spectrum. Then a stability approach is given that is specialized for the indefinite case. Also, very complex spectra are examined. Then convergence estimates are given for polynomial preconditioning of real, indefinite spectra. Finally, tests are preformed of finding interior eigenvalues.
title Polynomial Preconditioning for Indefinite Matrices
topic Numerical Analysis
url https://arxiv.org/abs/2510.14816