Optimal Discretization is Fixed-parameter Tractable
Abstract
Given two disjoint sets and of points in the plane, the Optimal Discretization problem asks for the minimum size of a family of horizontal and vertical lines that separate from , that is, in every region into which the lines partition the plane there are either only points of , or only points of , 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 -coordinates and the range of -coordinates into as few segments as possible, maintaining that no pair of points from 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 , where is the bound on the number of lines to find and 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.
Cite
@article{arxiv.2003.02475,
title = {Optimal Discretization is Fixed-parameter Tractable},
author = {Stefan Kratsch and Tomáš Masařík and Irene Muzi and Marcin Pilipczuk and Manuel Sorge},
journal= {arXiv preprint arXiv:2003.02475},
year = {2026}
}
Comments
Accepted to ACM-SIAM Symposium on Discrete Algorithms (SODA 2021). 53 pages, 18 figures