Journal of Jilin University Science Edition ›› 2019, Vol. 57 ›› Issue (5): 1081-1087.
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LIU Rui, LIU Qilong, CHEN Zhen
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Abstract: Based on the higherorder power method for computing the spectral radius of nonnegative tensors, we proposed a new iterative algorithm for determining strong Htensors. We proved that the given algorithm stopped in a finite step and its convergence rate was linear convergence by combined with the scaling technique of inequality and PerronFrobenius theorem of nonnegative tensors. Some numerical examples show that the algorithm can determine whether a given tensor is a strong Htensor or not. The iterative steps of the algorithm are less than that of the classical algorithm for determining strong Htensors in some cases.
Key words: strong Htensor, iterative algorithm, linear convergence
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LIU Rui, LIU Qilong, CHEN Zhen. Iterative Algorithm with Linear Convergence Rate[J].Journal of Jilin University Science Edition, 2019, 57(5): 1081-1087.
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http://xuebao.jlu.edu.cn/lxb/EN/Y2019/V57/I5/1081
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