Faster exponential time algorithms for the shortest vector problem
SODA 2010
PublishedSource checked
- Time bound
- 2O(n)
- Space bound
- 21.095 n + o(n)
- Source / version date
- 10 Aug 2009
- Comparison variant
- Classical · worst case
- Cost scale
- 2c n + o(n)
- Norm
- Euclidean ℓ₂
- Success guarantee
- High probability
- Computation model
- Classical; polynomial input-size factors suppressed
Assumptions and source notes
The same source gives a different rigorous ListSieve parameter choice using space 2^{1.095n} and still singly exponential time. No time coefficient is inferred for this space endpoint. It is an unranked time–space point, distinct from the 3.199/1.325 optimized-time point.
Source location
Abstract; §3 time–space parameter discussion and Corollary 3.2
Version: ECCC TR09-065, published 10 August 2009
Selected earlier references
Selected sources cited by this paper.
- Sieve Algorithms for the Shortest Vector Problem are Practical
Phong Q. Nguyen · Thomas Vidick · 2008
uses 5.9/2.95 as the preceding rigorous baseline Abstract and §1.1
- A sieve algorithm for the shortest lattice vector problem
Miklós Ajtai · Ravi Kumar · Dandapani Sivakumar · 2001
compares with the AKS sieve Abstract and §1.1
BibTeXDownload .bib
@inproceedings{micciancio-voulgaris-sieve-2009,
author = {Daniele Micciancio and Panagiotis Voulgaris},
title = {{Faster exponential time algorithms for the shortest vector problem}},
booktitle = {Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms},
year = {2010},
pages = {1468--1480},
doi = {10.1137/1.9781611973075.119},
url = {https://eccc.weizmann.ac.il/report/2009/065/},
cr_date = {2009-08-10},
cr_date_precision = {day},
cr_status = {published},
cr_venue = {SODA 2010},
cr_author_ids = {daniele-micciancio; panagiotis-voulgaris},
note = {ECCC TR09-065, published 10 August 2009}
}