Jun 1, 2024 · SVP refers to finding a shortest nonzero lattice vector in a given lattice, which is thought to be a difficult optimization problem.
Jun 1, 2024 · SVP refers to finding a shortest nonzero lattice vector in a given lattice, which is thought to be a difficult optimization problem. For general ...
Lattice is the main research subject in the geometry of numbers. SVP refers to finding a shortest nonzero lattice vector in a given lattice, ...
Jul 23, 2024 · SVP refers to finding a shortest nonzero lattice vector in a given lattice, which is thought to be a difficult optimization problem. For general ...
Lattice is the main research subject in the geometry of numbers. SVP refers to finding a shortest nonzero lattice vector in a given lattice, ...
Lattice is the main research subject in the geometry of numbers. SVP refers to finding a shortest nonzero lattice vector in a given lattice, ...
SVP refers to finding a shortest nonzero lattice vector in a given lattice, which is thought to be a difficult optimization problem. For general lattice, the ...
This article deals with the low-dimensional case. We study a greedy lattice basis reduction algorithm for the Euclidean norm, which is arguably the most natural ...
On the SVP for low-dimensional circulant lattices. Gengran Hu; Yanbin Pan; Renzhang Liu. OriginalPaper 01 June 2024 Article: 81. Diabetic prediction and ...
Jul 4, 2024 · Gengran Hu , Yanbin Pan, Renzhang Liu: On the SVP for low-dimensional circulant lattices. J. Comb. Optim. 47(5): 81 (2024).