Matching colored points with rectangles
L. E. Caraballo (),
C. Ochoa (),
P. Pérez-Lantero () and
J. Rojas-Ledesma ()
Additional contact information
L. E. Caraballo: Universidad de Sevilla
C. Ochoa: Universidad de Chile
P. Pérez-Lantero: Universidad de Valparaíso
J. Rojas-Ledesma: Universidad de Chile
Journal of Combinatorial Optimization, 2017, vol. 33, issue 2, No 4, 403-421
Abstract:
Abstract Let S be a point set in the plane such that each of its elements is colored either red or blue. A matching of S with rectangles is any set of pairwise-disjoint axis-aligned closed rectangles such that each rectangle contains exactly two points of S. Such a matching is monochromatic if every rectangle contains points of the same color, and is bichromatic if every rectangle contains points of different colors. We study the following two problems: (1) Find a maximum monochromatic matching of S with rectangles. (2) Find a maximum bichromatic matching of S with rectangles. For each problem we provide a polynomial-time approximation algorithm that constructs a matching with at least 1 / 4 of the number of rectangles of an optimal matching. We show that the first problem is $$\mathsf {NP}$$ NP -hard even if either the matching rectangles are restricted to axis-aligned segments or S is in general position, that is, no two points of S share the same x or y coordinate. We further show that the second problem is also $$\mathsf {NP}$$ NP -hard, even if S is in general position. These $$\mathsf {NP}$$ NP -hardness results follow by showing that deciding the existence of a matching that covers all points is $$\mathsf {NP}$$ NP -complete in each case. Additionally, we prove that it is $$\mathsf {NP}$$ NP -complete to decide the existence of a matching with rectangles that cover all points in the case where all the points have the same color, solving an open problem of Bereg et al. (Comput Geom 42(2):93–108, 2009).
Keywords: Computational geometry; Matching colored points; Maximum independent set; Rectangles; Approximations (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)
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DOI: 10.1007/s10878-015-9971-x
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