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A convergent Newton algorithm for computing Z-eigenvalues of an almost nonnegative irreducible tensor
Optimization Methods & Software ( IF 2.2 ) Pub Date : 2019-08-07 , DOI: 10.1080/10556788.2019.1647196 Xin Zhang 1, 2 , Qin Ni 1 , Zhili Ge 3
中文翻译:
用于计算几乎非负不可约张量的Z特征值的收敛牛顿算法
更新日期:2020-04-23
Optimization Methods & Software ( IF 2.2 ) Pub Date : 2019-08-07 , DOI: 10.1080/10556788.2019.1647196 Xin Zhang 1, 2 , Qin Ni 1 , Zhili Ge 3
Affiliation
In this paper, we compute Z-eigenvalues of a class of tensors by studying the properties of semi-symmetric tensor. We prove that is identical to zero if and only if , where is the associated semi-symmetric tensor of . Based on the semi-symmetric property, an almost nonnegative irreducible tensor is defined. And we use Newton method to compute Z-eigenvalues of this kind of tensor. The convergence of the proposed algorithm can be guaranteed. Numerical results are reported to illustrate the efficiency of our algorithm.
中文翻译:
用于计算几乎非负不可约张量的Z特征值的收敛牛顿算法
本文通过研究半对称张量的性质来计算一类张量的Z-特征值。我们证明 当且仅当等于 ,在哪里 是的相关半对称张量 。基于半对称性质,定义了一个几乎非负的不可约张量。并且我们使用牛顿法来计算这种张量的Z-特征值。可以保证所提算法的收敛性。数值结果被报道以说明我们算法的效率。