联机节点加权Steiner树及其相关问题

J. Naor, Debmalya Panigrahi, Mohit Singh
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引用次数: 51

摘要

我们首次获得了节点加权Steiner树、Steiner森林和群Steiner树问题的在线算法,实现了多对数竞争比。我们对Steiner树问题的算法在多项式时间内运行,而其他两个问题的算法则在拟多项式时间内运行。我们的算法可以看作是Buchbinder和Naor框架下的在线LP舍入算法(《理论计算机科学的基础和趋势》,2009);然而,虽然这些问题的自然LP公式确实导致了具有多对数竞争比的分数算法,但我们无法在不损失多项式因子的情况下在线四舍五入这些LP。因此,我们为这些问题设计了新的LP公式,并结合了蜘蛛分解、低深度斯坦纳树、广义群斯坦纳问题等范例,并使用这些范例提供的附加结构来舍入更复杂的LP,仅在竞争比中损失一个多对数因子。作为我们技术的进一步应用,我们还设计了具有多对数竞争比的多项式时间在线算法,用于边加权图中的两个基本网络设计问题:群斯坦纳森林问题(从而解决了Chekuri等人(SODA 2008)提出的一个开放问题)和单源r -顶点连接问题(它补充了Gupta等人(STOC 2009)提出的相应边连接问题的类似结果)。
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Online Node-Weighted Steiner Tree and Related Problems
We obtain the first online algorithms for the node-weighted Steiner tree, Steiner forest and group Steiner tree problems that achieve a poly-logarithmic competitive ratio. Our algorithm for the Steiner tree problem runs in polynomial time, while those for the other two problems take quasi-polynomial time. Our algorithms can be viewed as online LP rounding algorithms in the framework of Buchbinder and Naor (Foundations and Trends in Theoretical Computer Science, 2009); however, while the natural LP formulation of these problems do lead to fractional algorithms with a poly-logarithmic competitive ratio, we are unable to round these LPs online without losing a polynomial factor. Therefore, we design new LP formulations for these problems drawing on a combination of paradigms such as spider decompositions, low-depth Steiner trees, generalized group Steiner problems, etc. and use the additional structure provided by these to round the more sophisticated LPs losing only a poly-logarithmic factor in the competitive ratio. As further applications of our techniques, we also design polynomial-time online algorithms with poly-logarithmic competitive ratios for two fundamental network design problems in edge-weighted graphs: the group Steiner forest problem (thereby resolving an open question raised by Chekuri et. al. (SODA 2008)) and the single source ℓ-vertex connectivity problem (which complements similar results for the corresponding edge-connectivity problem due to Gupta et. al. (STOC 2009)).
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