Covering a set of points with a minimum number of lines

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Abstract

We consider the minimum line covering problem: given a set S of n points in the plane, we want to find the smallest number l of straight lines needed to cover all n points in S. We show that this problem can be solved in O(n log l) time if l ε O(log 1-ε n), and that this is optimal in the algebraic computation tree model (we show that the Ω(n log l) lower bound holds for all values of l up to O(√n)). Furthermore, a O(log l)-factor approximation can be found within the same O(n log l) time bound if l ε O(4√n). For the case when l ε Ω(log n) we suggest how to improve the time complexity of the exact algorithm by a factor exponential in l. © Springer-Verlag Berlin Heidelberg 2006.

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Grantson, M., & Levcopoulos, C. (2006). Covering a set of points with a minimum number of lines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3998 LNCS, pp. 6–17). Springer Verlag. https://doi.org/10.1007/11758471_4

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