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Polynomial Kernels for Hard Problems on Disk Graphs

机译:多项式内核在磁盘图上的难题

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Kernelization is a powerful tool to obtain fixed-parameter tractable algorithms. Recent breakthroughs show that many graph problems admit small polynomial kernels when restricted to sparse graph classes such as planar graphs, bounded-genus graphs or H-minor-free graphs. We consider the intersection graphs of (unit) disks in the plane, which can be arbitrarily dense but do exhibit some geometric structure. We give the first kernelization results on these dense graph classes. CON-NECTED VERTEX COVER has a kernel with 12k vertices on unit-disk graphs and with 3k~2 + 7k vertices on disk graphs with arbitrary radii. RED-BLUE DOMINATING SET parameterized by the size of the smallest color class has a linear-vertex kernel on planar graphs, a quadratic-vertex kernel on unit-disk graphs and a quartic-vertex kernel on disk graphs. Finally we prove that H-MATCHING on unit-disk graphs has a linear-vertex kernel for every fixed graph H.
机译:内核是一个强大的工具,可以获得固定参数的易旧算法。最近的突破表明,许多图表在仅限于稀疏图类别(如平面图,有界属图形或H-次偏心图)时,许多图表问题承认小多项式内核。我们考虑平面中(单位)磁盘的交叉点图,这可以是任意致密的,但表现出一些几何结构。我们给出了这些密集图形类的第一个内环结果。 Con-nation的顶点封面在单位磁盘图上具有12k顶点的内核,在磁盘图上有3k〜2 + 7k顶点,具有任意半径。由最小颜色类的大小参数化的红蓝色主导集合在平面图上具有线性 - 顶点内核,单位 - 磁盘图中的二次顶点内核和磁盘图上的四个顶点内核。最后,我们证明了在单元磁盘图上的H匹配具有针对每个固定图H的线性顶点内核。

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