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A hierarchy of polynomial time lattice basis reduction algorithms

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Schnorr, C.P.·1987·Theoretical Computer Science

Abstract

We present a hierarchy of polynomial time lattice basis reduction algorithms that stretch from Lenstra, Lenstra, Lovász reduction to Korkine–Zolotareff reduction. Let λ(L) be the length of a shortest nonzero element of a lattice L. We present an algorithm which for k∈N finds a nonzero lattice vector b so that |b|2⩽(6k2)nkλ(L)2. This algorithm uses O(n2(kk+o(k))+n2)log B) arithmetic operations on O(n log B)-bit integers. This holds provided that the given basis vectors b1,…,bn∈Zn are integral and have the length bound B. This algorithm successively applies Korkine–Zolotareff reduction to blocks of length k of the lattice basis. We also improve Kannan's algorithm for Korkine-Zolotareff reduction.

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Metadata

Authors
Schnorr, C. P.
Venue
Theoretical Computer Science
Publisher
Elsevier BV
Published
1987
Volume
53
Issue
2-3
Pages
201-224
ISSN
0304-3975 (ISSN-L)
OpenAlex
W1989510734
Cited by
648
References
7
FWCI
4.24
Type
journal article
Language
en
Open access
hybrid

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Schnorr, C. P. (1987). A hierarchy of polynomial time lattice basis reduction algorithms. Theoretical Computer Science. https://doi.org/10.1016/0304-3975(87)90064-8

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