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CVP

Closest Vector Problem

Find the lattice point closest to a target.

Exact · general ℓp norms

Exact search CVP for every fixed 1 < p < ∞, target in the lattice span

2 results · 1 papers
ClassicalProvableWorst casenc n + o(n) arithmetic operations
#PUBLICATION / AUTHORSDATETIME BOUNDSPACE BOUNDEVIDENCE
1Solving the Closest Vector Problem with respect to ℓp NormsJohannes Blömer · Stefanie NaewearXiv 1104.3720SourceBibTeX / detailsℓp norms exact polynomial space12 Jul 2011poly(p, log r) · n(2 + o(1))n arithmetic operationsPolynomial in the encoded input sizePreprintSource checked
2Solving the Closest Vector Problem with respect to ℓp NormsJohannes Blömer · Stefanie NaewearXiv 1104.3720SourceBibTeX / detailsℓp norms exact arithmetic model16 May 2011poly(p, log r) · n(5/2 + o(1))n arithmetic operationsNo polynomial-space guarantee asserted for this versionPreprintSource checked
Comparison definition & assumptions
Regime
Exact search CVP for every fixed 1 < p < ∞, target in the lattice span
Computation
Classical
Rigor
Provable
Instances
Worst case
Cost scale
n^{c n + o(n)} arithmetic operations
Parameter
n
Description
Exact CVP for the family of ℓp norms, with arithmetic operation counts and space guarantees stated per source version.
Comparison rules
For each fixed 1 < p < ∞ return a closest vector in an arbitrary full-rank rational n-dimensional lattice under ℓp distance. The target lies in the span of the lattice. Count arithmetic operations, with polynomial input-size factors separated. Preserve p-dependence and bit-size/space guarantees. Euclidean-only algorithms do not solve this whole norm-family contract.
Tags
ℓp norms, exact, arithmetic model