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CVP / Provable · polynomial space

Closest Vectors, Successive Minima, and Dual HKZ-Bases of Lattices

Johannes Blömer

ICALP 2000

PublishedSource checked
Time bound
n! · sO(1)
Space bound
poly(s)
Source / version date
2000
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.

  1. Minkowski’s convex body theorem and integer programming

    Ravi Kannan · 1987

    Compares the n! CVP bound with the earlier enumeration algorithm. Abstract; reference 16

Primary source ↗

@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}
}