An inexact Matrix-Newton method for solving NEPv

Fuente: arXiv
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Main Author: Werner, Tom
Format: Preprint
Published: 2023
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author Werner, Tom
author_facet Werner, Tom
contents In this paper, an inexact Newton method for solving real-valued nonlinear eigenvalue problems with eigenvector dependency (NEPv) is introduced that is able to solve the problem on a matrix level. Our main contribution is to derive a variant of Newton's method that uses global Krylov methods such as global GMRES to solve the linear operator equation necessary to compute the Newton correction in a matrix-free way. The advantages that this second order method has over the well-established SCF algorithm are explained and visualized by a variety of numerical experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2311_09670
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle An inexact Matrix-Newton method for solving NEPv
Werner, Tom
Numerical Analysis
In this paper, an inexact Newton method for solving real-valued nonlinear eigenvalue problems with eigenvector dependency (NEPv) is introduced that is able to solve the problem on a matrix level. Our main contribution is to derive a variant of Newton's method that uses global Krylov methods such as global GMRES to solve the linear operator equation necessary to compute the Newton correction in a matrix-free way. The advantages that this second order method has over the well-established SCF algorithm are explained and visualized by a variety of numerical experiments.
title An inexact Matrix-Newton method for solving NEPv
topic Numerical Analysis
url https://arxiv.org/abs/2311.09670