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FOURTH-ORDER PARTIALLY SYMMETRIC TENSORS: THEORY AND ALGORITHM

机译:四阶部分对称张量:理论和算法

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摘要

With the coming of the big data era, high-order tensors have received much attention of researches in recent years, and this makes it to be a useful tool in data analysis. As a special kind of structured tensor, the fourth-order partially symmetric tensor receives a special concern due to its wide applications in nonlinear elasticity materials. In this review, we will give a survey on recent advances of fourth-order partially symmetric tensors such as M-eigenvalue inclusion intervals, M-positive definiteness, strong ellipticity condition and algorithms for computing the largest M-eigenvalue. Some potential research directions in the future are also listed in the paper.
机译:随着大数据时代的到来,近年来,高阶张量吸引了研究的关注,这使其成为数据分析中的有用工具。 作为一种特殊的结构化张量,四阶部分对称张量由于其在非线性弹性材料中的广泛应用而受到特殊关注。 在这篇综述中,我们将对四阶部分对称张量的最新进展进行调查,例如M-eigenvalue纳入间隔,M阳性确定性,强椭圆形条件和计算最大M eigenValue的算法。 本文还列出了未来的一些潜在研究指示。

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