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An iterative algorithm based on strong H-tensors for identifying positive definiteness of irreducible homogeneous polynomial forms

机译:一种迭代算法,基于强H-张量的识别不可缩小的均匀多项式形式的正肯定

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Identifying the positive definiteness of an even-degree homogeneous polynomial form arises in various applications, such as evolutionary game dynamics, automatical control, magnetic resonance imaging, and spectral hypergraph theory. However, it is difficult to determine whether a given homogeneous polynomial is positive definite or not because the problem is H-hard. In this paper, an iterative algorithm of identifying the positive definiteness of irreducible homogeneous polynomial forms is proposed by identifying strong H-tensors with weakly irreducibility. The validity of the iterative algorithm is proved theoretically. Experimental results on multilinear systems, high-order Markov chains and symmetric multi-player games are presented to illustrate the applications of the proposed methods. (C) 2019 Elsevier B.V. All rights reserved.
机译:在各种应用中识别均匀的均匀多项式形式的正定性,例如进化游戏动力学,自动控制,磁共振成像和光谱超图理论。 然而,难以确定给定的均匀多项式是否是正定的,因为问题是H-H-H-H-H-H-H-H-COMP。 本文通过识别具有弱不可可动力的强H张纹体来提出了一种识别不可缩小的均匀多项式形式的正面明确的迭代算法。 理论上证明了迭代算法的有效性。 提出了多线性系统的实验结果,提出了高阶马尔可夫链和对称多人游戏,以说明所提出的方法的应用。 (c)2019 Elsevier B.v.保留所有权利。

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