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

  • Authors:
  • Timothy M. Chan

  • Affiliations:
  • School of Computer Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada

  • Venue:
  • Computational Geometry: Theory and Applications
  • Year:
  • 2006

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Abstract

We speed up previous (1+@e)-factor approximation algorithms for a number of geometric optimization problems in fixed dimensions: diameter, width, minimum-radius enclosing cylinder, minimum-width enclosing annulus, minimum-width enclosing cylindrical shell, etc. Linear time bounds were known before; we further improve the dependence of the ''constants'' in terms of @e. We next consider the data-stream model and present new (1+@e)-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.