An efficient LLL gram using buffered transformations

  • Authors:
  • Werner Backes;Susanne Wetzel

  • Affiliations:
  • Stevens Institute of Technology, Hoboken, NJ;Stevens Institute of Technology, Hoboken, NJ

  • Venue:
  • CASC'07 Proceedings of the 10th international conference on Computer Algebra in Scientific Computing
  • Year:
  • 2007

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Abstract

In this paper we introduce an improved variant of the LLL algorithm. Using the Gram matrix to avoid expensive correction steps necessary in the Schnorr-Euchner algorithm and introducing the use of buffered transformations allows us to obtain a major improvement in reduction time. Unlike previous work, we are able to achieve the improvement while obtaining a strong reduction result and maintaining the stability of the reduction algorithm.