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SVP

Shortest Vector Problem

Find a shortest nonzero lattice vector.

Enumeration · superexponential scale

Exact Euclidean SVP; specify basis reduction and preprocessing

4 results · 4 papers
ClassicalProvableArbitrary latticesnc n + o(n)
#PUBLICATION / AUTHORSDATETIME BOUNDSPACE BOUNDEVIDENCE
1Faster SVP in Polynomial SpaceYansong Feng · Yiming Gao · Jiaqi LiuarXiv 2609.21612SourceBibTeX / detailsprovable polynomial space n log n scale18 Sept 2026nn/(4e) + o(n)poly(n)PreprintSource checked
2Improved Analysis of Kannan's Shortest Lattice Vector AlgorithmGuillaume Hanrot · Damien StehléCrypto 2007SourceBibTeX / detailsprovable polynomial space n log n scale7 May 2007nn/(2e) + o(n)poly(n)PublishedSource checked
3Algorithms to construct Minkowski reduced and Hermite reduced lattice basesBettina HelfrichTheoretical Computer Science 1985SourceBibTeX / detailsenumeration polynomial space n log n scale1985nn/2+o(n)poly(input size)PublishedSource checked
4Improved algorithms for integer programming and related lattice problemsRavi KannanSTOC 1983SourceBibTeX / detailsenumeration polynomial space n log n scale1983nn+o(n)poly(input size)PublishedSource checked
Comparison definition & assumptions
Regime
Exact Euclidean SVP; specify basis reduction and preprocessing
Computation
Classical
Rigor
Provable
Instances
Arbitrary lattices
Cost scale
n^{c n + o(n)}
Parameter
n
Description
Enumeration coefficients live on the n log n scale, separately from singly exponential algorithms.
Comparison rules
Record the exact parameter regime, cost unit, distribution and access assumptions. A source and BibTeX are required for new submissions. This template makes no claim to a universal exponent.
Tags
enumeration, arbitrary lattices, n log n scale, basis reduction