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Maximal Matching and Path Matching Counting in Polynomial Time for Graphs of Bounded Clique Width

机译:有界集团宽度图的多项式时间最大匹配和路径匹配计数

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In this paper, we provide polynomial-time algorithms for dif ferent extensions of the matching counting problem, namely maximal matchings, path matchings (linear forest) and paths, on graph classes of bounded clique-width. For maximal matchings, we introduce matching-cover pairs to efficiently handle maximality in the local structure, and develop a polynomial time algorithm. For path matchings, we develop a way to classify the path matchings in a polynomial number of equivalent classes. Using these, we develop dynamic programing algorithms that run in polynomial time of the graph size, but in exponential time of the clique-width. In particular, we show that for a graph G of n vertices and clique-width k, these problems can be solved in O(n~f(k)) time where f is exponential in k or in O(n~9(l)) time where g is linear or quadratic in l if an l-expression for G is given as input.
机译:在本文中,我们提供了多项式时间算法,用于有界集团宽度图类上匹配计数问题的不同扩展,即最大匹配,路径匹配(线性森林)和路径。对于最大匹配,我们引入了匹配覆盖对以有效处理局部结构中的最大值,并开发了多项式时间算法。对于路径匹配,我们开发了一种将路径匹配分类为多项式等效类的方法。使用这些,我们开发了动态编程算法,该算法以图形大小的多项式时间运行,但以集团宽度的指数时间运行。特别地,我们表明对于n个顶点和群宽为k的图G,这些问题可以在O(n〜f(k))的时间内解决,其中f在k或O(n〜9(l) ))如果给定G的l表达式作为输入,则g在l中为线性或二次方的时间。

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