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Computing vertex connectivity: new bounds from old techniques

机译:计算顶点连接:来自旧技术的新界限

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The vertex connectivity /spl kappa/ of a graph is the smallest number of vertices whose deletion separates the graph or makes it trivial. We present the fastest known deterministic algorithm for finding the vertex connectivity and a corresponding separator. The time for a digraph having n vertices and m edges is O(min{/spl kappa//sup 3/+n,/spl kappa/n}m); for an undirected graph the term m can be replaced by /spl kappa/n. A randomized algorithm finds /spl kappa/ with error probability 1/2 in time O(nm). If the vertices have nonnegative weights the weighted vertex connectivity is found in time O(/spl kappa//sub 1/nmlog(n/sup 2//m)) where /spl kappa//sub 1//spl les/m/n is the unweighted vertex connectivity, or in expected time O(nm log(n/sup 2//m)) with error probability 1/2. The main algorithm combines two previous vertex connectivity algorithms and a generalization of the preflow push algorithm of J. Hao and J.B. Orlin (1994) that computes edge connectivity.
机译:Vertex连接/ SPL kappa /图是删除图形或使其微不足道的最小顶点数。我们呈现了用于找到顶点连接和相应分隔符的最快已知的确定性算法。具有n个顶点和m边缘的数字的时间是O(min {/ spl kappa // sup 3 / + n,/ spl kappa / n} m);对于无向图形,术语M可以由/ SPL kappa / n替换。随机算法在时间O(nm)中发现/ spl kapp / with error概率1/2。如果顶点具有非负权重,则在时间o(/ spl kappa //子1 / nmlog(n / sup 2 // m))中找到加权顶点连接,其中/ spl kappa // sub 1 // spl les / m / n是未加权的顶点连接,或在预期的时间O(nm log(n / sup 2 // m)),错误概率为1/2。主算法结合了两个先前的顶点连接算法和J. hao和J.b. Orlin(1994)的预先推送算法的概括,计算了边缘连接。

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