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Fast Exponential Algorithms for Maximum Υ-Regular Induced Subgraph Problems

机译:极大Υ正则子图问题的快速指数算法

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Given a graph G = (V, E) on n vertices, the Maximum Υ-REGULAR Induced Subgraph (M-Υ-RIS) problems ask for a maximum sized subset of vertices R is contained in V such that the induced subgraph on R, G[R], is Υ-regular. We give an O(c~n) time algorithm for these problems for any fixed constant r, where c is a positive constant strictly less than 2, solving a well known open problem. These algorithms are then generalized to solve counting and enumeration version of these problems in the same time. An interesting consequence of the enumeration algorithm is, that it shows that the number of maximal Υ-regular induced subgraphs for a fixed constant r on any graph on n vertices is upper bounded by o(2~n). We then give combinatorial lower bounds on the number of maximal r-regular induced subgraphs possible on a graph on n vertices and also give matching algorithmic upper bounds. We use the techniques and results obtained in the paper to obtain an improved exact algorithm for a special case of Induced Subgraph Isomorphism that is Induced Υ-Regular Subgraph Isomorphism, where r is a constant. All the algorithms in the paper are simple but their analyses are not. Some of the upper bound proofs or algorithms require a new and different measure than the usual number of vertices or edges to measure the progress of the algorithm, and require solving an interesting system of polynomials.
机译:给定在n个顶点上的图G =(V,E),则最大Υ规则诱导子图(M-Υ-RIS)问题要求顶点R的最大大小子集包含在V中,使得R上的诱导子图G [R]是Υ正则。对于任何固定常数r,我们给出针对这些问题的O(c〜n)时间算法,其中c是严格小于2的正常数,从而解决了众所周知的开放问题。然后,对这些算法进行一般化处理,以同时解决这些问题的计数和枚举版本。枚举算法的一个有趣的结果是,它表明n个顶点上任何图上某个固定常数r的最大Υ-正则诱导子图的数量是o(2〜n)的上限。然后,我们在n个顶点的图形上给出最大r-正则诱导子图的数量的组合下界,并给出匹配的算法上界。我们使用本文中获得的技术和结果来获得一种改进的精确算法,用于诱导子图同构的特殊情况,即诱导Υ-正则子图同构,其中r是一个常数。本文中的所有算法都很简单,但分析却并非如此。某些上界证明或算法需要一种不同于通常数量的顶点或边的新方法来度量算法的进度,并且需要解决一个有趣的多项式系统。

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