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Computing the Line-Constrained k-center in the Plane for Small k

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Algorithmic Aspects in Information and Management (AAIM 2016)

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Abstract

In this paper, we study the line-constrained k-center problem in the Euclidean plane. Given a set of demand points and a line L, the problem asks for k points, called center facilities, on L, such that the maximum of the distances from the demand points to their closest center facilities is minimized. For any fixed k, we propose an algorithm with running time linear to the number of demand points.

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Notes

  1. 1.

    As indicated in Sect. 4, what we need is an algorithm for solving small instances.

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Acknowledgments

Albert Jhih-Heng Huang and Kun-Mao Chao were supported in part by MOST grants 101-2221-E-002-063-MY3 and 103-2221-E-002-157-MY3, and Hung-Lung Wang was supported in part by MOST grant 103-2221-E-141-004 from the Ministry of Science and Technology, Taiwan.

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Huang, A.JH., Wang, HL., Chao, KM. (2016). Computing the Line-Constrained k-center in the Plane for Small k . In: Dondi, R., Fertin, G., Mauri, G. (eds) Algorithmic Aspects in Information and Management. AAIM 2016. Lecture Notes in Computer Science(), vol 9778. Springer, Cham. https://doi.org/10.1007/978-3-319-41168-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-41168-2_17

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