在半随机图中寻找和证明一个大的隐藏团

U. Feige, Robert Krauthgamer
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引用次数: 214

摘要

Alon, Krivelevich, and Sudakov[随机结构算法13(3-4)(1998),457-466]。]设计了一种基于谱技术的算法,几乎可以肯定地找到隐藏在随机图中的大小集团。我们展示了一种基于Lovasz theta函数的不同算法,几乎可以肯定地找到隐藏集团并证明其最优性。我们的算法还有一个更健壮的优势:它也适用于半随机隐藏的派系模型,在这种模型中,对手可以从图的随机部分删除边。©2000 John Wiley & Sons, Inc随机结构。Alg。, 16, 195 - 208,2000
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding and certifying a large hidden clique in a semirandom graph
Alon, Krivelevich, and Sudakov [Random Struct Algorithms 13(3–4) (1998), 457–466.] designed an algorithm based on spectral techniques that almost surely finds a clique of size hidden in an otherwise random graph. We show that a different algorithm, based on the Lovasz theta function, almost surely both finds the hidden clique and certifies its optimality. Our algorithm has an additional advantage of being more robust: it also works in a semirandom hidden clique model, in which an adversary can remove edges from the random portion of the graph. ©2000 John Wiley & Sons, Inc. Random Struct. Alg., 16, 195–208, 2000
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