Oct 5, 2021 · We show that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time 2^{0.802\, n}.
Missing: 20.802 | Show results with:20.802
We show that a constant factor approximation of the shortest and closest lattice vector problem in any -norm can be computed in time.
We show that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time 2 0.802 n .
It is shown that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time $2^{0.802\, n}$ and ...
We show that a constant factor approximation of the shortest and closest lattice vector problem in any ℓp-norm can be computed in time 2(0.802+ε)n.
Mar 1, 2022 · This matches the currently fastest constant factor approximation algorithm for the shortest vector problem in the ℓ 2 norm. To obtain our result ...
It is shown that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time $2^{0.802\, n}$ and ...
We show that a constant factor approximation of the shortest and closest lattice vector problem. w.r.t. any `p-norm can be computed in time 2(0.802+ε) n. This ...
Missing: 20.802 | Show results with:20.802
Oct 5, 2021 · We show that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time 20.802n.
As we mentioned already, SVP 2 can be approximated up to a constant factor in time 2 (0.802+ε)n for each ε > 0. This follows from a careful analysis of the list ...