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Lattice Basis Reduction with Dynamic Approximation

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Algorithm Engineering (WAE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1982))

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Abstract

In this paper we present a heuristic based on dynamic approximations for improving the well-known Schnorr-Euchner lattice basis reduction algorithm. In particular, the new heuristic is more efficient in reducing large problem instances and extends the applicability of the Schnorr-Euchner algorithm such that problem instances that the stateof- the-art method fails to reduce can be solved using our new technique.

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Author information

Authors and Affiliations

  1. Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, D-66123, Saarbrücken, Germany

    Werner Backes

  2. Lucent Technologies - Bell Labs, Information Sciences Research, 600-700 Mountain Avenue, NJ, Murray Hill, 07974, USA

    Susanne Wetzel

Authors
  1. Werner Backes
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  2. Susanne Wetzel
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Editor information

Editors and Affiliations

  1. Universität Trier, Fachbereich IV — Informatik, 54286, Trier, Germany

    Stefan Näher

  2. Fakultät für Mathematik und Informatik, Universität Konstanz, 78457, Konstanz, Germany

    Dorothea Wagner

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© 2001 Springer-Verlag Berlin Heidelberg

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Backes, W., Wetzel, S. (2001). Lattice Basis Reduction with Dynamic Approximation. In: Näher, S., Wagner, D. (eds) Algorithm Engineering. WAE 2000. Lecture Notes in Computer Science, vol 1982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44691-5_6

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  • DOI: https://doi.org/10.1007/3-540-44691-5_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42512-0

  • Online ISBN: 978-3-540-44691-0

  • eBook Packages: Springer Book Archive

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