Title :
Hardness of approximating the shortest vector problem in high Lp norms
Author_Institution :
Dept. of Comput. Sci., Princeton Univ., NJ, USA
Abstract :
We show that for every ε > 0, there is a constant p(ε) such that for all integers p ≥ p(ε), it is NP-hard to approximate the shortest vector problem in Lp norm within factor p1 - ε under randomized reductions. For large values of p, this improves the factor 21p/ - δ hardness shown by D. Micciancio (1998).
Keywords :
computational complexity; polynomial approximation; randomised algorithms; vectors; Lp norm; NP-hard problem; randomized reduction; shortest vector problem; Books; Computer science; Gaussian processes; Geometry; History; Lattices; Length measurement; Linear programming; Polynomials; Public key cryptography;
Conference_Titel :
Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE Symposium on
Print_ISBN :
0-7695-2040-5
DOI :
10.1109/SFCS.2003.1238203