Given two disjoint sets $W_1$ and $W_2$ of points in the plane, the Optimal Discretization problem asks for the minimum size of a family of horizontal and vertical lines that separate $W_1$ from $W_2$, that is, in every region into which the lines partition the plane there are either only points of $W_1$, or only points of $W_2$, or the region is empty. Equivalently, Optimal Discretization can be phrased as a task of discretizing continuous variables: we would like to discretize the range of $x$-coordinates and the range of $y$-coordinates into as few segments as possible, maintaining that no pair of points from $W_1 \times W_2$ are projected onto the same pair of segments under this discretization. We provide a fixed-parameter algorithm for the problem, parameterized by the number of lines in the solution. Our algorithm works in time $2^{O(k^2 \log k)} n^{O(1)}$, where $k$ is the bound on the number of lines to find and $n$ is the number of points in the input. Our result answers in positive a question of Bonnet, Giannopolous, and Lampis [IPEC 2017] and of Froese (PhD thesis, 2018) and is in contrast with the known intractability of two closely related generalizations: the Rectangle Stabbing problem and the generalization in which the selected lines are not required to be axis-parallel.
翻译:鉴于平面上两个不连接点设置为W_1美元和W_2美元,最佳差异化问题要求将水平线和垂直线的最小大小从W_1美元和W_2美元分离开来,也就是说,在线使平面分隔的每个区域中,只有W_1美元,或只有W_2美元点,或区域是空的。同样,最佳差异化可以表述为分解连续变量的任务:我们希望将美元值的坐标和美元值的坐标范围分解为尽可能少的部分,也就是说,在离散的平面上,线线线线使平面上只有W_1美元,或只有W_2美元点,或区域是空的。我们为问题提供一个固定的参数算法,以解决方案中的行数参数为参数。我们的算法工作在时间里是 $xx(k%2) 平面的坐标和美元值值值坐标范围(美元值) 和美元值的正值在平面问题中,我们所选的正值值是正值。