TY - GEN
T1 - 2 log1-εn hardness for the closest vector problem with preprocessing
AU - Khot, Subhash A.
AU - Popat, Preyas
AU - Vishnoi, Nisheeth K.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - We prove that for an arbitrarily small constant ε > 0, assuming NP⊈DTIME (2 log O(1-εn), the preprocessing versions of the closest vector problem and the nearest codeword problem are hard to approximate within a factor better than 2 log 1-ε n. This improves upon the previous hardness factor of (log n) δ for some δ > 0 due to [AKKV05].
AB - We prove that for an arbitrarily small constant ε > 0, assuming NP⊈DTIME (2 log O(1-εn), the preprocessing versions of the closest vector problem and the nearest codeword problem are hard to approximate within a factor better than 2 log 1-ε n. This improves upon the previous hardness factor of (log n) δ for some δ > 0 due to [AKKV05].
KW - PCP
KW - closest vector problem
KW - hardness of approximation
KW - lattices
KW - nearest codeword problem
UR - http://www.scopus.com/inward/record.url?scp=84862632621&partnerID=8YFLogxK
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U2 - 10.1145/2213977.2214004
DO - 10.1145/2213977.2214004
M3 - Conference contribution
AN - SCOPUS:84862632621
SN - 9781450312455
T3 - Proceedings of the Annual ACM Symposium on Theory of Computing
SP - 277
EP - 288
BT - STOC '12 - Proceedings of the 2012 ACM Symposium on Theory of Computing
T2 - 44th Annual ACM Symposium on Theory of Computing, STOC '12
Y2 - 19 May 2012 through 22 May 2012
ER -