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

Published online by Cambridge University Press:  01 December 1997

HERVÉ DAUDÉ
Affiliation:
LATP, URA 225, Département de Mathématiques, CMI, Université de Provence, 39 rue F.Joliot-Curie F-13453 Marseille Cedex 13, France; (e-mail: daude@gyptis.univ-mrs.fr)
PHILIPPE FLAJOLET
Affiliation:
Algorithms Project, INRIA-Rocquencourt, F-78153 Le Chesnay, France; (e-mail: Philippe.Flajolet@inria.fr)
BRIGITTE VALLÉE
Affiliation:
GREYC, Département d'Informatique, Université de Caen, F-14032 Caen, France; (e-mail: Brigitte.Vallee@info.unicaen.fr)

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.

Type
Research Article
Copyright
1997 Cambridge University Press

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