Skip to main content

Computing Farthest Neighbors on a Convex Polytope

  • Conference paper
  • First Online:
Computing and Combinatorics (COCOON 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2108))

Included in the following conference series:

Abstract

Let N be a set of n points in convex position in ∝3. The farthest-point Voronoi diagram of N partitions ∝3 into n convex cells. We consider the intersection G(N) of the diagram with the boundary of the convex hull of N. We give an algorithm that computes an implicit representation of G(N) in expected O(n log2 n) time. More precisely, we compute the combinatorial structure of G(N), the coordinates of its vertices, and the equation of the plane de?ning each edge of G(N). The algorithm allows us to solve the all-pairs farthest neighbor problem for N in expected time O(n log2 n), and to perform farthest-neighbor queries on N in O(log2 n) time with high probability. This can be applied to find a Euclidean maximum spanning tree and a diameter 2-clustering of N in expected O(n log4 n) time.

This research was partially supported by the Hong Kong Research Grants Council.Part of it was done when the first two authors were at HKUST. The second author’s research was supported by grant No. 98-0102-07-01-3 from KOSEF and also supported by BK21 Research Professor Program at KAIST.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pankaj K. Agarwal, J. Matouísek, and Subhash Suri Farthest neighbors, maximum spanning trees and related problems in higher dimensions. Comput. Geom. Theory Appl., 1(4):189–201, 1992.

    MATH  MathSciNet  Google Scholar 

  2. A. Aggarwal and D. Kravets A linear time algorithm for finding all farthest neighbors in a convex polygon. Information Processing letters, 31(1):17–20, 1989.

    Article  MATH  MathSciNet  Google Scholar 

  3. Sergei N. Bespamyatnikh An efficient algorithm for the three-dimensional diameter problem. In Proc. 9th ACM-SIAM Sympos. Discrete Algorithms, pages 137–146, 1998.

    Google Scholar 

  4. K.L. Clarkson and P.W. Shor Applications of random sampling in computational geometry, II. Discrete Comput. Geom., 4:387–421, 1989.

    Article  MATH  MathSciNet  Google Scholar 

  5. K. Mulmuley Computational Geometry: An Introduction Through Randomized Algorithms. Prentice Hall, Englewood Cliffs, NJ, 1994.

    Google Scholar 

  6. F.P. Preparata and M.I. Shamos Computational Geometry: An Introduction. Springer-Verlag, New York, NY, 1985.

    Google Scholar 

  7. E. Ramos Construction of 1-d lower envelopes and applications. In Proc. 13th Annu. ACM Sympos. Comput. Geom., pp. 57–66, 1997.

    Google Scholar 

  8. E. Ramos An optimal deterministic algorithm for computing the diameter of a 3-d point set. In Proc. 16th Annu. ACM Sympos. Comput. Geom., page to appear, 2000.

    Google Scholar 

  9. P.M. Vaidya An O(n log n) algorithm for the all-nearest-neighbors problem. Discrete Comput. Geom., 4:101–115, 1989.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cheong, O., Shin, CS., Vigneron, A. (2001). Computing Farthest Neighbors on a Convex Polytope. In: Wang, J. (eds) Computing and Combinatorics. COCOON 2001. Lecture Notes in Computer Science, vol 2108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44679-6_18

Download citation

  • DOI: https://doi.org/10.1007/3-540-44679-6_18

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42494-9

  • Online ISBN: 978-3-540-44679-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics