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Subexponential-Time Algorithms for Maximum Independent Set and Related Problems on Box Graphs

机译:箱图上最大独立集的次指数时间算法及相关问题

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A box graph is the intersection graph of orthogonal rectangles in the plane. We consider such basic combinatorial problems on box graphs as maximum independent set, minimum vertex cover and maximum induced subgraph with polynomial-time testable hereditary property Ⅱ. We show that they can be exactly solved in subexponential time, more precisely, in time 2~(O n~(1/2)log n)), by applying Miller's simple cycle planar separator theorem (in spite of the fact that the input box graph might be strongly non-planar). Furthermore we extend our idea to include the intersection graphs of orthogonal d-cubes of bounded aspect ratio and dimension. We present an algorithm that solves maximum independent set and the other aforementioned problems in time 2~(O(d2~dbn~(1-1)/d) log n) on such box graphs in d-dimensions. We do this by applying a separator theorem by Smith and Wormald. Finally, we show that in general graph case substantially subexponential algorithms for maximum independent set and the maximum induced subgraph with polynomial-time testable hereditary property Ⅱ problems can yield non-trivial upper bounds on approximation factors achievable in polynomial time.
机译:箱形图是平面中正交矩形的相交图。我们在箱形图中考虑了基本的组合问题,例如最大独立集,最小顶点覆盖和具有多项式时间可检验遗传特性的最大诱导子图Ⅱ。我们证明,通过应用米勒的简单循环平面分离定理(尽管输入为事实,它们可以在次指数时间内,更精确地在时间2〜(O n〜(1/2)log n))中精确求解。箱形图可能是高度非平面的)。此外,我们将思想扩展到包括纵横比和尺寸受限的正交d立方体的相交图。我们提出了一种算法,可以解决这种二维维箱图上最大独立集和其他上述问题,时间为2〜(O(d2〜dbn〜(1-1)/ d)log n)。我们通过应用Smith和Wormald的分隔定理来做到这一点。最后,我们表明,在一般图情况下,用于最大独立集的最大次指数算法和具有多项式时间可检验的遗传特性Ⅱ问题的最大诱导子图可以在多项式时间内获得逼近因子的非平凡上界。

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