Abstract
In this paper we present algorithms for computing 1-center of a set of points for convex polyhedral distance function in \(\mathfrak {R}^d\) for any d. Given polyhedral P of size m, the running time of our algorithm for computing 1-center of n points in \(\mathfrak {R}^2\) for convex polygonal distance function \(d_P\) is \(O(nm\log ^2 m)\). For \(d>2\), we present an \(O(3^{3d^2} nm^2\log ^d m)\) algorithm to compute 1-center of n points in \(\mathfrak {R}^d\) for convex polyhedral distance function \(d_P\), \(|P|=m\). Both the algorithms are linear time for fixed d and fixed polyhedron P.
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Das, S., Nandy, A., Sarvottamananda, S. (2016). Linear Time Algorithm for 1-Center in \(\mathfrak {R}^d\) Under Convex Polyhedral Distance Function. In: Zhu, D., Bereg, S. (eds) Frontiers in Algorithmics. FAW 2016. Lecture Notes in Computer Science(), vol 9711. Springer, Cham. https://doi.org/10.1007/978-3-319-39817-4_5
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DOI: https://doi.org/10.1007/978-3-319-39817-4_5
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