Abstract
We study a geometric facility location problem under imprecision. Given n unit intervals in the real line, each with one of k colors, the goal is to place one point in each interval such that the resulting minimum color-spanning interval is as large as possible. A minimum color-spanning interval is an interval of minimum size that contains at least one point from a given interval of each color. We prove that if the input intervals are pairwise disjoint, the problem can be solved in O(n) time, even for intervals of arbitrary length. For overlapping intervals, the problem becomes much more difficult. Nevertheless, we show that it can be solved in \(O(n^2 \log n)\) time when \(k=2\), by exploiting several structural properties of candidate solutions, combined with a number of advanced algorithmic techniques. Interestingly, this shows a sharp contrast with the 2-dimensional version of the problem, recently shown to be NP-hard.
A. Acharyya was supported by the DST-SERB grant number SRG/2022/002277. V. Keikha was supported by the CAS PPPLZ grant L100302301, and the institutional support RVO: 67985807. M. Saumell was supported by the Czech Science Foundation, grant number 23-04949X. R. Silveira was partially supported by grant PID2019-104129GB-I00/MCIN/AEI/10.13039/501100011033.
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Acharyya, A., Keikha, V., Saumell, M., Silveira, R.I. (2024). Computing Largest Minimum Color-Spanning Intervals of Imprecise Points. In: Soto, J.A., Wiese, A. (eds) LATIN 2024: Theoretical Informatics. LATIN 2024. Lecture Notes in Computer Science, vol 14578. Springer, Cham. https://doi.org/10.1007/978-3-031-55598-5_6
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