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L-RCM: a method to detect connected components in undirected graphs by using the Laplacian matrix and the RCM algorithm

机译:L-RCm:一种检测无向图中连通分量的方法   使用拉普拉斯矩阵和RCm算法

摘要

In this paper we consider undirected graphs with no loops and multiple edges,consisting of k connected components. In these cases, it is well known that onecan find a numbering of the vertices such that the adjacency matrix A is blockdiagonal with k blocks. This also holds for the (unnormalized) Laplacian matrixL= D-A, with D a diagonal matrix with the degrees of the nodes. In this paperwe propose to use the Reverse Cuthill-McKee (RCM) algorithm to obtain a blockdiagonal form of L that reveals the number of connected components of thegraph. We present some theoretical results about the irreducibility of theLaplacian matrix ordered by the RCM algorithm. As a practical application wepresent a very efficient method to detect connected components with acomputational cost of O(m+n), being m the number of edges and n the number ofnodes. The RCM method is implemented in some comercial packages like MATLAB andMathematica. We make the computations by using the function symrcm of MATLAB.Some numerical results are shown
机译:在本文中,我们考虑了无向图,该无向图无环且有多个边,由k个连接的分量组成。在这些情况下,众所周知,可以找到顶点的编号,使得邻接矩阵A与k个块成块对角线。对于(未归一化的)拉普拉斯矩阵L = D-A,其中D为具有节点度数的对角矩阵,这也成立。在本文中,我们建议使用反向Cuthill-McKee(RCM)算法来获得L的块对角线形式,以揭示图形的连接分量的数量。我们提出了一些有关RCM算法排序的拉普拉斯矩阵的不可约性的理论结果。在实际应用中,我们提出了一种非常有效的方法来检测连接的组件,计算成本为O(m + n),即边数为m,节点数为n。 RCM方法在某些商业软件包(如MATLAB和Mathematica)中实现。我们使用MATLAB的函数symrcm进行计算,得到了一些数值结果

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