On the Parameterized Complexity of Red-Blue Points Separation

10/02/2017 ∙ by Édouard Bonnet, et al. ∙ 0

We study the following geometric separation problem: Given a set R of red points and a set B of blue points in the plane, find a minimum-size set of lines that separate R from B. We show that, in its full generality, parameterized by the number of lines k in the solution, the problem is unlikely to be solvable significantly faster than the brute-force n^O(k)-time algorithm, where n is the total number of points. Indeed, we show that an algorithm running in time f(k)n^o(k/ k), for any computable function f, would disprove ETH. Our reduction crucially relies on selecting lines from a set with a large number of different slopes (i.e., this number is not a function of k). Conjecturing that the problem variant where the lines are required to be axis-parallel is FPT in the number of lines, we show the following preliminary result. Separating R from B with a minimum-size set of axis-parallel lines is FPT in the size of either set, and can be solved in time O^*(9^|B|) (assuming that B is the smallest set).



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