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Geometric Packing under Non-uniform Constraints

机译:非均匀约束下的几何堆积

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We study the problem of discrete geometric packing. Here, given weighted regions (say in the plane) and points (with capacities), one has to pick a maximum weight subset of the regions such that no point is covered more than its capacity. We provide a general framework and an algorithm for approximating the optimal solution for packing in hypergraphs arising out of such geometric settings. Using this framework we get a flotilla of results on this problem (and also on its dual, where one wants to pick a maximum weight subset of the points when the regions have capacities). For example, for the case of fat triangles of similar size, we show an O(1)-approximation and prove that no PTAS is possible. See [14] for the full version of the paper.
机译:我们研究了离散几何堆积的问题。在这里,给定加权区域(例如在平面上)和点(具有容量),必须选择区域的最大权重子集,以使没有点被覆盖超过其容量。我们提供了一种通用框架和一种算法,用于近似估算由此类几何设置产生的超图中的最佳包装解决方案。使用该框架,我们得到了关于该问题的结果(以及它的对偶结果,当区域具有容量时,人们希望选择该点的最大权重子集)。例如,对于相似大小的粗三角形,我们显示了O(1)逼近,并证明了PTAS是不可能的。有关论文的完整版本,请参见[14]。

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