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Vertex Cover Gets Faster and Harder on Low Degree Graphs

机译:在低度图中,顶点覆盖变得越来越快

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The problem of finding an optimal vertex cover in a graph is a classic NP-complete problem, and is a special case of the hitting set question. On the other hand, the hitting set problem, when asked in the context of induced geometric objects, often turns out to be exactly the vertex cover problem on restricted classes of graphs. In this work we explore a particular instance of such a phenomenon. We consider the problem of hitting all axis-parallel slabs induced by a point set P, and show that it is equivalent to the problem of finding a vertex cover on a graph whose edge set is the union of two Hamiltonian Paths. We show the latter problem to be NP-complete, and also give an algorithm to find a vertex cover of size at most k, on graphs of maximum degree four, whose running time is 1.2637~k n~(O(1)).
机译:在图中找到最佳顶点覆盖的问题是经典的NP完全问题,并且是命中集问题的特例。另一方面,当在诱导的几何对象的上下文中询问时,命中集问题通常被证明恰好是图的受限类上的顶点覆盖问题。在这项工作中,我们探索了这种现象的一个特定实例。我们考虑了击中由点集P引起的所有轴平行平板的问题,并表明这等效于在边集为两个汉密尔顿路径的并集的图形上找到顶点覆盖的问题。我们证明后一个问题是NP完全的,并且给出了一种算法,以在最大度数为4的图上找到最大大小为k的顶点覆盖,其运行时间为1.2637〜k n〜(O(1))。

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