Closest Vectors, Successive Minima, and Dual HKZ-Bases of Lattices
ICALP 2000
PublishedSource checked
- Time bound
- n! · sO(1)
- Space bound
- poly(s)
- Source / version date
- 2000
- Comparison variant
- Provable · polynomial space
- Cost scale
- nc n + o(n)
- norm
- Euclidean ℓ₂
- Preprocessing cost
- Dual-HKZ computation included
- target
- Arbitrary target
- Computation model
- Deterministic enumeration
- success
- Exact output
- costScale
- n log₂ n
Assumptions and source notes
The publisher abstract states n! times a polynomial in input size for exact rank-n CVP. This improves the lower-order exponential factor while retaining leading coefficient 1 on the n log n scale; it is not a new smaller leading exponent.
Source location
Abstract; Kannan and Helfrich comparison; see Hanrot–Stehlé extended analysis §1 for the polynomial-space enumeration context
Version: ICALP 2000 proceedings, LNCS 1853
Selected earlier references
Selected sources cited by this paper.
- Minkowski’s convex body theorem and integer programming
Ravi Kannan · 1987
Compares the n! CVP bound with the earlier enumeration algorithm. Abstract; reference 16
BibTeXDownload .bib
@inproceedings{blomer-2000,
author = {Johannes Blömer},
title = {{Closest Vectors, Successive Minima, and Dual HKZ-Bases of Lattices}},
year = {2000},
doi = {10.1007/3-540-45022-X_22},
url = {https://doi.org/10.1007/3-540-45022-X_22},
keywords = {CVP, lattice algorithms},
cr_date = {2000-12-31},
cr_date_precision = {year},
cr_status = {published},
cr_venue = {ICALP 2000},
cr_author_ids = {johannes-blomer},
howpublished = {ICALP 2000}
}