首页> 外文会议> >Fast parallel algorithms for testing k-connectivity of directed and undirected graphs
【24h】

Fast parallel algorithms for testing k-connectivity of directed and undirected graphs

机译:用于测试有向图和无向图的k-连通性的快速并行算法

获取原文

摘要

It appears that no NC algorithms have previously appeared for testing a directed graph for k-edge connectivity or k-vertex connectivity, even for fixed k<1. Using an elementary flow method we give such algorithms, with time complexity O(k log n) using nP(n,m) or (n+k/sup 2/)P(n,m) processors, respectively. Here, n is the number of vertices, m is the number of edges, P(n,m) is the number of processors needed to find some path in time O(log n) time between two specified vertices in a directed graph with O(n) vertices and O(m) edges, and the computation model is a CRCW PRAM. These algorithms of course apply also to undirected graphs, but using sparse certificates we can improve the factors P(n,m) to P(n,kn) for both types of connectivity. This is better in time by a factor of O(k) over previous algorithms for undirected graphs. We also note that edge connectivity is NC-reducible to vertex connectivity even if k is not fixed.
机译:似乎先前没有出现NC算法用于测试k边缘连接或k顶点连接的定向图,即使是固定的k <1。使用基本的流量方法,我们提供了使用NP(N,M)或(n + k / sup 2 /)p(n,m)处理器的时间复杂度O(k log n)的算法。这里,n是顶点的数量,m是边缘的数量,p(n,m)是在与o的定向图中的两个指定顶点中找到某些路径所需的处理器的数量(n)顶点和O(m)边缘,并且计算模型是CRCW PRAM。这些算法当然也适用于无向图形,但是使用稀疏证书,我们可以改善对两种连接类型的P(n,k k)的因子p(n,m)。这在以前的算法O(k)的时间因子是更好的无向图形。我们还注意到,即使k未固定,边缘连接也可将NC-REDUCATIBLED-TEXTEX连接。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号