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A sieve algorithm for the shortest lattice vector problem

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Published:06 July 2001Publication History

ABSTRACT

We present a randomized 2^{O(n)} time algorithm to compute a shortest non-zero vector in an n-dimensional rational lattice. The best known time upper bound for this problem was 2^{O(n\log n)} first given by Kannan [7] in 1983. We obtain several consequences of this algorithm for related problems on lattices and codes, including an improvement for polynomial time approximations to the shortest vector problem. In this improvement we gain a factor of log log n in the exponent of the approximating factor.

References

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        cover image ACM Conferences
        STOC '01: Proceedings of the thirty-third annual ACM symposium on Theory of computing
        July 2001
        755 pages
        ISBN:1581133499
        DOI:10.1145/380752

        Copyright © 2001 ACM

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        Publication History

        • Published: 6 July 2001

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