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An algorithm for Heilbronn's problem

  • Session 2: Computational Geometry
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Computing and Combinatorics (COCOON 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1276))

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Abstract

Heilbronn conjectured that given arbitrary n points from R 2, located in the unit square (or disc), there must be three points which form a triangle of area at most O(1/n2). This conjecture was shown to be false by a nonconstructive argument of Komlós, Pintz and Szemerédi [6] who showed that for every n there is a configuration of n points in the unit square where all triangles have area at least Ω(log n/n2). In this paper, we provide a polynomial-time algorithm which for every n computes such a configuration of n points.

We then consider a generalization of this problem as introduced by Schmidt [10] to convex hulls of k points. We obtain the following result: For every k ≥ 4, there is a polynomial-time algorithm which on input n computes n points in the unit square such that the convex hull of any k points has area at least Ω(1/n(k-i)/(k-2)). For k = 4, the existence of such a configuration has been proved in [10].

This research was supported by the Deutsche Forschungsgemeinschaft as part of the Collaborative Research Center “Computational Intelligence” (SFB 531).

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References

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Tao Jiang D. T. Lee

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© 1997 Springer-Verlag Berlin Heidelberg

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Bertram-Kretzberg, C., Hofmeister, T., Lefmann, H. (1997). An algorithm for Heilbronn's problem. In: Jiang, T., Lee, D.T. (eds) Computing and Combinatorics. COCOON 1997. Lecture Notes in Computer Science, vol 1276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045069

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  • DOI: https://doi.org/10.1007/BFb0045069

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63357-0

  • Online ISBN: 978-3-540-69522-6

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