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An efficient method for decomposition of regular structures using graph products

机译:使用图积分解规则结构的有效方法

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In this paper an efficient method is presented for calculating the eigenvalues of regular structural models. A structural model is called regular if they can be viewed as the direct-or strong Cartesian product of some simple graphs known as their generators. The eigenvalues of the adjacency and Laplacian matrices for a regular graph model are easily obtained by the evaluation of eigenvalues of its generators. The second eigenvalue of the Laplacian of a graph is also obtained using a much faster and much simple approach than the existing methods. Copyright (C) 2004 John Wiley Sons, Ltd.
机译:本文提出了一种有效的方法来计算规则结构模型的特征值。如果可以将结构模型视为某些称为它们的生成器的简单图的直接或强笛卡尔积,则将它们称为规则模型。通过评估生成器的特征值,可以轻松获得规则图模型的邻接矩阵和Laplacian矩阵的特征值。图的拉普拉斯算子的第二特征值也使用比现有方法快得多且简单得多的方法来获得。版权所有(C)2004 John Wiley Sons,Ltd.

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