An Improved Iterative Algorithm for Identifying Strong ${\mathcal {H}}$-Tensors

Wenbin Gong, Yan Li, Yaqiang Wang

Communications on Applied Mathematics and Computation ›› 2024

Communications on Applied Mathematics and Computation ›› 2024 DOI: 10.1007/s42967-023-00362-x
Original Paper

An Improved Iterative Algorithm for Identifying Strong ${\mathcal {H}}$-Tensors

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Abstract

Strong ${\mathcal {H}}$-tensors play a significant role in identifying the positive definiteness of an even-order real symmetric tensor. In this paper, first, an improved iterative algorithm is proposed to determine whether a given tensor is a strong ${\mathcal {H}}$-tensor, and the validity of the iterative algorithm is proved theoretically. Second, the iterative algorithm is employed to identify the positive definiteness of an even-order real symmetric tensor. Finally, numerical examples are presented to illustrate the advantages of the proposed algorithm.

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Wenbin Gong, Yan Li, Yaqiang Wang. An Improved Iterative Algorithm for Identifying Strong ${\mathcal {H}}$-Tensors. Communications on Applied Mathematics and Computation, 2024 https://doi.org/10.1007/s42967-023-00362-x
Funding
Natural Science Basic Research Program of Shaanxi, China(2020JM-622)

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