Expected worst-case partial match in random quadtries

  • Authors:
  • Luc Devroye;Carlos Zamora-Cura

  • Affiliations:
  • School of Computer Science, McGill University, Montreal, Canada H3A 2K6;Instituto de Matemticas, Universidad Nacional Autnoma de Mexico, D.F., Mexico

  • Venue:
  • Discrete Applied Mathematics - Brazilian symposium on graphs, algorithms and combinatorics
  • Year:
  • 2004

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Abstract

We consider random multivariate quadtries obtained from n points independently and uniformly distributed on the unit cube of Rd Let Nn(y) be the complexity of the standard partial match algorithm for fixed vector y, where y is a vector in Rs O s d. We study Nn=supy Nn(y), the worst-case time for partial match. Among other things, we show that partial match is very stable, in the sense that supy Nn(y)/infy Nn(y) → 1 in probability.