We prove that for an arbitrarily small constant < 0, the preprocessing versions of the closest vector problem and the nearest codeword problem are hard to approximate within a factor 2log1-en, under the assumption that NP ⊈ SIZE(2logO(1/e)n). © 2014 Society for Industrial and Applied Mathematics
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
We prove that for an arbitrarily small constant ε> 0, assuming NP 6⊆DTIME(2logO(1/ε) n), the prep...
We show that, unless NP⊆DTIME(2 poly log(n)), the closest vector problem with pre-processing, for ℓp...
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
We show that, unless NP⊆DTIME(2poly log(n)), the clos-est vector problem with pre-processing, for p ...
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
We show that the Closest Vector Problem with Preprocessing over ` ∞ norm (CVPP∞) is NP-hard to appro...
AbstractWe prove the following about the Nearest Lattice Vector Problem (in anylpnorm), the Nearest ...
textabstractWe present a new efficient algorithm for the search version of the approximate Closest V...
AbstractWe prove the following about the Nearest Lattice Vector Problem (in anylpnorm), the Nearest ...
We present a new efficient algorithm for the search version of the approximate Closest Vector Proble...
We present a new efficient algorithm for the search version of the approximate Closest Vec-tor Probl...
This paper shows the problem of finding the closest vector in an n-dimensional lattice to be NPhard ...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
We prove that for an arbitrarily small constant ε> 0, assuming NP 6⊆DTIME(2logO(1/ε) n), the prep...
We show that, unless NP⊆DTIME(2 poly log(n)), the closest vector problem with pre-processing, for ℓp...
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
We show that, unless NP⊆DTIME(2poly log(n)), the clos-est vector problem with pre-processing, for p ...
AbstractWe prove that the closest vector problem with preprocessing (CVPP) is NP-hard to approximate...
We show that the Closest Vector Problem with Preprocessing over ` ∞ norm (CVPP∞) is NP-hard to appro...
AbstractWe prove the following about the Nearest Lattice Vector Problem (in anylpnorm), the Nearest ...
textabstractWe present a new efficient algorithm for the search version of the approximate Closest V...
AbstractWe prove the following about the Nearest Lattice Vector Problem (in anylpnorm), the Nearest ...
We present a new efficient algorithm for the search version of the approximate Closest Vector Proble...
We present a new efficient algorithm for the search version of the approximate Closest Vec-tor Probl...
This paper shows the problem of finding the closest vector in an n-dimensional lattice to be NPhard ...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
AbstractWe show SVP∞ and CVP∞ to be NP-hard to approximate to within nc/loglogn for some constant c>...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...