Abstract
We present an \(O(n^2\log ^4 n)\)-time algorithm for computing the center region of a set of n points in the three-dimensional Euclidean space. This improves the previously best known algorithm by Agarwal, Sharir and Welzl, which takes \(O(n^{2+\epsilon })\) time for any \(\epsilon > 0\). It is known that the complexity of the center region is \(\varOmega (n^2)\), thus our algorithm is almost tight.
The second problem we consider is computing a colored version of the center region in the two-dimensional Euclidean space. We present an \(O(n\log ^4 n)\)-time algorithm for this problem.
This work was supported by the NRF grant 2011-0030044 (SRC-GAIA) funded by the government of Korea.
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Notes
- 1.
The authors in [3] roughly analyze this procedure and mention that this procedure takes \(O(m\text { polylog} (m+s))\) time. We analyze the running time of this procedure to give a more tight bound.
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Oh, E., Ahn, HK. (2017). Computing the Center Region and Its Variants. In: Poon, SH., Rahman, M., Yen, HC. (eds) WALCOM: Algorithms and Computation. WALCOM 2017. Lecture Notes in Computer Science(), vol 10167. Springer, Cham. https://doi.org/10.1007/978-3-319-53925-6_20
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DOI: https://doi.org/10.1007/978-3-319-53925-6_20
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