An Average-Case Analysis of the Gaussian Algorithm for Lattice Reduction

  • Authors:
  • Hervé/ Daudé/;Philippe Flajolet;Brigitte Vallé/e

  • Affiliations:
  • LATP, URA 225, Dé/partement de Mathé/matiques, CMI, Université/ de Provence, 39 rue F.Joliot-Curie F-13453 Marseille Cedex 13, France/ (e-mail: daude@gyptis.univ-mrs.fr);Algorithms Project, INRIA-Rocquencourt, F-78153 Le Chesnay, France/ (e-mail: Philippe.Flajolet@inria.fr);GREYC, Dé/partement d'Informatique, Université/ de Caen, F-14032 Caen, France/ (e-mail: Brigitte.Vallee@info.unicaen.fr)

  • Venue:
  • Combinatorics, Probability and Computing
  • Year:
  • 1997

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Abstract

The Gaussian algorithm for lattice reduction in dimension 2 is analysed under its standard version. It is found that, when applied to random inputs in a continuous model, the complexity is constant on average, its probability distribution decays geometrically, and the dynamics are characterized by a conditional invariant measure. The proofs make use of connections between lattice reduction, continued fractions, continuants, and functional operators. Analysis in the discrete model and detailed numerical data are also presented.