关于保持可达网络方向的逼近性

Q3 Mathematics
Michael Elberfeld, V. Bafna, Iftah Gamzu, Alexander Medvedovsky, D. Segev, Dana Silverbush, Uri Zwick, R. Sharan
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引用次数: 6

摘要

摘要介绍了生物网络研究中出现的一个面向图问题。给定一个无向图和一个有序的源-目标顶点对列表,目标是确定图的方向,使最大数量的顶点对允许有向的源-目标路径。我们研究了这个问题的复杂性和近似性。我们证明了这个问题即使在星图上也是-困难的,并且很难在某个常数因子内近似。在积极的方面,我们提供了一个Ω(log log n/log n)因子近似算法来解决n顶点图上的问题。我们进一步证明,对于问题的任何实例,存在一个输入图的方向,满足所有对的对数分数,并且这个界紧到一个常数因子。我们的技术也导致了对问题的一些限制变量的常因子近似算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Approximability of Reachability-Preserving Network Orientations
Abstract We introduce a graph-orientation problem arising in the study of biological networks. Given an undirected graph and a list of ordered source–target vertex pairs, the goal is to orient the graph such that a maximum number of pairs admit a directed source-to-target path. We study the complexity and approximability of this problem. We show that the problem is -hard even on star graphs and hard to approximate to within some constant factor. On the positive side, we provide an Ω(log log n/log n) factor approximation algorithm for the problem on n-vertex graphs. We further show that for any instance of the problem there exists an orientation of the input graph that satisfies a logarithmic fraction of all pairs and that this bound is tight up to a constant factor. Our techniques also lead to constant-factor approximation algorithms for some restricted variants of the problem.
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来源期刊
Internet Mathematics
Internet Mathematics Mathematics-Applied Mathematics
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