Title :
Hardness of approximating the closest vector problem with pre-processing
Author :
Alekhnovich, Mikhail ; Khot, Subhash A. ; Kindler, Guy ; Vishnoi, Nisheeth K.
Author_Institution :
Inst. for Adv. Study, Princeton, NJ, USA
Abstract :
We show that, unless NP⊆DTIME(2poly log(n)) the closest vector problem with pre-processing, for ℓp norm for any p ≥ 1, is hard to approximate within a factor of (log n)1p - ε/´ /P for any ε > 0. This improves the previous best factor of 31p/ - ε due to Regev (2004). Our results also imply that under the same complexity assumption, the nearest codeword problem with pre-processing is hard to approximate within a factor of (log n)1 - ε´ for any ε > 0.
Keywords :
computational complexity; approximation hardness; closest vector problem; complexity assumption; nearest codeword problem; Application software; Computer applications; Computer science; Cryptography; Educational institutions; Equations; Gaussian processes; Lattices; Mathematics; Polynomials;
Conference_Titel :
Foundations of Computer Science, 2005. FOCS 2005. 46th Annual IEEE Symposium on
Print_ISBN :
0-7695-2468-0
DOI :
10.1109/SFCS.2005.40