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Linear convergence of an algorithm for largest singular value of a nonnegative rectangular tensor

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Abstract

An algorithm for finding the largest singular value of a nonnegative rectangular tensor was recently proposed by Chang, Qi, and Zhou [J. Math. Anal. Appl., 2010, 370: 284–294]. In this paper, we establish a linear convergence rate of the Chang-Qi-Zhou algorithm under a reasonable assumption.

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Correspondence to Liping Zhang.

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Zhang, L. Linear convergence of an algorithm for largest singular value of a nonnegative rectangular tensor. Front. Math. China 8, 141–153 (2013). https://doi.org/10.1007/s11464-012-0260-z

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  • DOI: https://doi.org/10.1007/s11464-012-0260-z

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