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Factorization Of Product Graphs For Partitioning And Domain Decomposition

机译:用于分区和域分解的乘积图的因式分解

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In this paper an efficient algorithm is presented for identifying the generators of regular graph models G formed by Cartesian graph products. This process of identification is called the factorization of G and the generators are also known as the factors of G. Once such a factorization is performed, a simple approach is employed for calculating the second eigenvalues of the factors. Using these eigenvalues, the second eigenvalue of the entire model is obtained and the corresponding eigenvector is employed for bisection of the model. Most of the structural models are regular and can be considered as the product of some simple graphs such as paths and/or cycles. By finding the factors of a given graph G, the eigenvalues and eigenvectors of G can easily be determined. The efficiency of the present method is illustrated through six examples of different configurations.
机译:在本文中,提出了一种有效的算法,用于识别由笛卡尔图积形成的正则图模型G的生成器。这种识别过程称为G的因式分解,并且生成器也称为G的因数。一旦执行了这样的因式分解,就可以采用一种简单的方法来计算这些因数的第二特征值。使用这些特征值,可以获得整个模型的第二个特征值,并将相应的特征向量用于模型的二等分。大多数结构模型都是规则的,可以视为一些简单图形(例如路径和/或循环)的产物。通过找到给定图G的因子,可以轻松确定G的特征值和特征向量。通过不同配置的六个示例说明了本方法的效率。

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