Abstract
In this paper, we study a 3D geometric problem originated from computing neural maps in the computational biology community: Given a set S of n points in 3D, compute k cylindrical segments (with different radii, orientations, lengths and no segment penetrates another) enclosing S such that the sum of their radii is minimized. There is no known result in this direction except when k = 1. The general problem is strongly NP-hard and we obtain a polynomial time approximation scheme (PTAS) for any fixed k > 1 in O(n 3k− 2 /δ4k−3) time by returning k cylindrical segments with sum of radii at most (1 + δ) of the corresponding optimal value. Our PTAS is built upon a simple (though slower) approximation algorithm for the case when k = 1.
This research is partially supported by Hong Kong RGC CERG grant CityU1103/ 99E, NSF CARGO grant DMS-0138065 and a MONTS grant.
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Zhu, B. (2002). Approximating 3D Points with Cylindrical Segments. In: Ibarra, O.H., Zhang, L. (eds) Computing and Combinatorics. COCOON 2002. Lecture Notes in Computer Science, vol 2387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45655-4_45
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DOI: https://doi.org/10.1007/3-540-45655-4_45
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