Faster Fully Dynamic Transitive Closure in Practice

Kathrin Hanauer, M. Henzinger, Christian Schulz
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引用次数: 11

Abstract

The fully dynamic transitive closure problem asks to maintain reachability information in a directed graph between arbitrary pairs of vertices, while the graph undergoes a sequence of edge insertions and deletions. The problem has been thoroughly investigated in theory and many specialized algorithms for solving it have been proposed in the last decades. In two large studies [Frigioni ea, 2001; Krommidas and Zaroliagis, 2008], a number of these algorithms have been evaluated experimentally against simple static algorithms for graph traversal, showing the competitiveness and even superiority of the simple algorithms in practice, except for very dense random graphs or very high ratios of queries. A major drawback of those studies is that only small and mostly randomly generated graphs are considered. In this paper, we engineer new algorithms to maintain all-pairs reachability information which are simple and space-efficient. Moreover, we perform an extensive experimental evaluation on both generated and real-world instances that are several orders of magnitude larger than those in the previous studies. Our results indicate that our new algorithms outperform all state-of-the-art algorithms on all types of input considerably in practice.
更快的全动态传递闭包
全动态传递闭包问题要求在有向图中保持任意顶点对之间的可达性信息,同时图要经历一系列的边插入和边删除。在过去的几十年里,人们对这个问题进行了深入的理论研究,并提出了许多专门的算法来解决这个问题。在两项大型研究中[Frigioni等,2001;Krommidas和Zaroliagis, 2008],这些算法中的许多已经与简单的静态算法进行了实验评估,用于图遍历,显示了简单算法在实践中的竞争力甚至优势,除了非常密集的随机图或非常高的查询比率。这些研究的一个主要缺点是只考虑小的和随机生成的图表。在本文中,我们设计了一种新的算法来维护全对可达性信息,该算法简单且节省空间。此外,我们对生成的和现实世界的实例进行了广泛的实验评估,这些实例比以前的研究大几个数量级。我们的研究结果表明,在实践中,我们的新算法在所有类型的输入上都明显优于所有最先进的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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