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A generalization of inverse power method for computing eigenpairs of symmetric tensors.

Authors :
Sheng, Zhou
Ni, Qin
Source :
Linear & Multilinear Algebra. Dec2022, Vol. 70 Issue 20, p4973-4990. 18p.
Publication Year :
2022

Abstract

In this paper, we propose generalized inverse power methods with variable shifts for finding the smallest H-/Z-eigenvalue and associated H-/Z-eigenvector of symmetric tensors. The methods are guaranteed to always converge to a H-/Z-eigenpair. Furthermore, for an even order nonsingular symmetric M -tensor, the proposed method with any positive initial point always converges to the smallest H-eigenvalue. Numerical results are reported to illustrate that the proposed methods often can find the smallest H-/Z-eigenvalue instead of other H-/Z-eigenvalues of symmetric tensors. Moreover, we can always get the smallest H-eigenvalue for an even order nonsingular symmetric M -tensor. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03081087
Volume :
70
Issue :
20
Database :
Academic Search Index
Journal :
Linear & Multilinear Algebra
Publication Type :
Academic Journal
Accession number :
160969458
Full Text :
https://doi.org/10.1080/03081087.2021.1902461