EconPapers    
Economics at your fingertips  
 

Aitken extrapolation method for computing the largest eigenvalue of nonnegative tensors

Jun-Feng Yin, Xiao-He Kong and Ning Zheng

Applied Mathematics and Computation, 2015, vol. 258, issue C, 350-357

Abstract: Tensor eigenvalue problem recently attracts much research interest since it plays a very important role in both theoretical analysis of multilinear algebra and many practical applications. Numerical iterative schemes were proposed to calculate the maximum eigenvalue of a non-negative tensor based on a Perron–Frobenius theorems. Using Aitken extrapolation technique, we propose a class of new iterative methods to calculate the largest eigenvalue of irreducible nonnegative tensors. The implementation of Aitken extrapolation is well studied. Numerical experiments show that the new methods are feasible and faster than original approaches.

Keywords: Tensor; Eigenvalue; Irreducible; Perron–Frobenius; Extrapolation (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315000910
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:258:y:2015:i:c:p:350-357

DOI: 10.1016/j.amc.2015.01.059

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:258:y:2015:i:c:p:350-357