Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27988
Title: Linear convergence of an algorithm for computing the largest eigenvalue of a nonnegative tensor
Authors: Zhang, L
Qi, L 
Keywords: Convergence
Eigenvalue
Essentially positive tensor
Iterative method
Nonnegative tensor
Issue Date: 2012
Source: Numerical linear algebra with applications, 2012, v. 19, no. 5, p. 830-841 How to cite?
Journal: Numerical Linear Algebra with Applications 
Abstract: An iterative method for finding the largest eigenvalue of a nonnegative tensor was proposed by Ng, Qi, and Zhou in 2009. In this paper, we establish an explicit linear convergence rate of the Ng-Qi-Zhou method for essentially positive tensors. Numerical results are given to demonstrate linear convergence of the Ng-Qi-Zhou algorithm for essentially positive tensors.
URI: http://hdl.handle.net/10397/27988
ISSN: 1070-5325
DOI: 10.1002/nla.822
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