Faster core-set constructions and data stream algorithms in fixed dimensions

  • Authors:
  • Timothy M. Chan

  • Affiliations:
  • University of Waterloo

  • Venue:
  • SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
  • Year:
  • 2004

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Abstract

We speed up previous (1+ε)-factor approximation algorithms for a number of geometric optimization problems in fixed dimensions: diameter, width, minimum-radius enclosing cylinder, minimum-width annulus, minimum-volume bounding box, minimum-width cylindrical shell, etc. Linear time bounds were known before we further improve the dependence of the "constants" in terms of ε.We next consider the data stream model and present new (1+ε)-factor approximation algorithms that need only constant space for all of the above problems in any fixed dimension. Previously, such a result was known only for diameter.Both sets of results are obtained using the core-set framework recently proposed by Agarwal, Har-Peled, and Varadarajan.