使用DAG分解的快速可达性

G. Kritikakis, I. Tollis
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引用次数: 2

摘要

给出了一种计算有向图传递闭包的快速实用算法。它基于计算有向无环图(DAG)的可达性索引方案,G = (V, E)。给定G的任意路径/链分解,我们展示了如何在参数化线性时间内计算这样一个可达性方案,该方案可以在常数时间内回答可达性查询。实验结果表明,我们的方法在实践中比理论界限所暗示的要快得多,这表明路径/链分解算法可以应用于传递闭包(TC)问题的快速实用解。进一步,我们证明了DAG G的非传递边的个数≤width * | V |,并且我们可以使用路径/链分解在线性时间内找到G的一个相当大的传递边子集。我们广泛的实验结果显示了这些概念在各种dag模型中的相互作用。2012 ACM学科分类:计算理论→应用领域的理论与算法;计算理论→算法设计与分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Reachability Using DAG Decomposition
We present a fast and practical algorithm to compute the transitive closure (TC) of a directed graph. It is based on computing a reachability indexing scheme of a directed acyclic graph (DAG), G = ( V, E ). Given any path/chain decomposition of G we show how to compute in parameterized linear time such a reachability scheme that can answer reachability queries in constant time. The experimental results reveal that our method is significantly faster in practice than the theoretical bounds imply, indicating that path/chain decomposition algorithms can be applied to obtain fast and practical solutions to the transitive closure (TC) problem. Furthermore, we show that the number of non-transitive edges of a DAG G is ≤ width ∗ | V | and that we can find a substantially large subset of the transitive edges of G in linear time using a path/chain decomposition. Our extensive experimental results show the interplay between these concepts in various models of DAGs. 2012 ACM Subject Classification Theory of computation → Theory and algorithms for application domains; Theory of computation → Design and analysis of algorithms
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