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  1. Home > Articles & Issues >
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  3. Lattice reduction in ...
Conference paper

Lattice reduction in two dimensions: analyses under realistic probabilistic models

Brigitte Vallée (1), Antonio Vera (1)
(1) Equipe AMACC - Laboratoire GREYC - UMR6072
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Imported on
May 10, 2017
Published on
December 31, 2006
Last modified on
March 31, 2025
Volume
DMTCS Proceedings vol. AH, 2007 Conference on Analysis of Algorithms (AofA 07)
Proceedings
DOI
10.46298/dmtcs.3549
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https://about.hal.science/hal-authorisation-v1
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Lattice reduction in two dimensions: analyses under realistic probabilistic models

Brigitte Vallée (1), Antonio Vera (1)
(1) Equipe AMACC - Laboratoire GREYC - UMR6072
Abstract
The Gaussian algorithm for lattice reduction in dimension 2 is precisely analysed under a class of realistic probabilistic models, which are of interest when applying the Gauss algorithm "inside'' the LLL algorithm. The proofs deal with the underlying dynamical systems and transfer operators. All the main parameters are studied: execution parameters which describe the behaviour of the algorithm itself as well as output parameters, which describe the geometry of reduced bases.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
  • Dynamical analysis of Algorithms.
  • Dynamical Systems
  • probabilistic analysis of algorithms
  • Lattice Reduction
  • Gauss' algorithm
  • LLL algorithm
  • Euclid's algorithm
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