Improved algorithms for the Shortest Vector Problem and the Closest Vector Problem in the infinity norm
ISAAC 2018
PublishedSource checked
- Time bound
- 22.82 n + o(n)
- Space bound
- 22.82 n + o(n)
- Source / version date
- 15 May 2018
- Comparison variant
- Classical · ℓ∞ norm
- Cost scale
- 2c n + o(n)
- Norm
- ℓ∞
- Success guarantee
- At least 1/2
- Computation model
- Classical; polynomial input-size factors suppressed
Assumptions and source notes
Exact ℓ∞-SVP using the birthday variant, with γ = 0.67 and ξ = 0.868. The coefficient was checked in v2; the row conservatively uses that version’s 15 May 2018 arXiv date rather than assuming it was already in v1 on 8 January. It is not a Euclidean-SVP coefficient.
Source location
Theorem 3.2 and its explicit parameter specialization, PDF p. 17
Version: arXiv:1801.02358v2, 15 May 2018
Selected earlier references
Selected sources cited by this paper.
- A sieve algorithm for the shortest lattice vector problem
Miklós Ajtai · Ravi Kumar · Dandapani Sivakumar · 2001
modifies randomized sieving for the infinity norm Abstract and §1.2.1; reference [4]
BibTeXDownload .bib
@inproceedings{aggarwal-mukhopadhyay-2018-infinity,
author = {Divesh Aggarwal and Priyanka Mukhopadhyay},
title = {{Improved algorithms for the Shortest Vector Problem and the Closest Vector Problem in the infinity norm}},
booktitle = {29th International Symposium on Algorithms and Computation (ISAAC 2018)},
year = {2018},
url = {https://arxiv.org/abs/1801.02358},
cr_date = {2018-01-08},
cr_date_precision = {day},
cr_status = {published},
cr_venue = {ISAAC 2018},
cr_author_ids = {divesh-aggarwal; priyanka-mukhopadhyay},
note = {arXiv:1801.02358; checked version v2, 15 May 2018}
}