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  4. Approximate CVP in Time 2(0.802n) - Now in Any Norm!
 
conference paper

Approximate CVP in Time 2(0.802n) - Now in Any Norm!

Rothvoss, Thomas
•
Venzin, Moritz  
January 1, 2022
Integer Programming And Combinatorial Optimization, Ipco 2022
23rd International Conference on Integer Programming and Combinatorial Optimization (IPCO)

We show that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time 2(0.802 n). This contrasts the corresponding 2(n) time, (gap)-SETH based lower bounds for these problems that even apply for small constant approximation.

For both problems, SVP and CVP, we reduce to the case of the Euclidean norm. A key technical ingredient in that reduction is a twist of Milman's construction of an M-ellipsoid which approximates any symmetric convex body K with an ellipsoid E so that 2(epsilon n) translates of a constant scaling of E can cover K and vice versa.

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Type
conference paper
DOI
10.1007/978-3-031-06901-7_33
Web of Science ID

WOS:000870458800031

Author(s)
Rothvoss, Thomas
Venzin, Moritz  
Date Issued

2022-01-01

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Publisher place

Cham

Published in
Integer Programming And Combinatorial Optimization, Ipco 2022
ISBN of the book

978-3-031-06901-7

978-3-031-06900-0

Series title/Series vol.

Lecture Notes in Computer Science

Volume

13265

Start page

440

End page

453

Subjects

Computer Science, Theory & Methods

•

Mathematics, Applied

•

Computer Science

•

Mathematics

•

lattice algorithms

•

sieving

•

integer programming

•

shortest vector problem

•

lattice problems

•

hardness

•

reduction

•

limits

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Event nameEvent placeEvent date
23rd International Conference on Integer Programming and Combinatorial Optimization (IPCO)

Eindhoven, NETHERLANDS

Jun 27-29, 2022

Available on Infoscience
November 7, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/191925
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