학술논문

The gram–schmidt walk: A cure for the Banaszczyk blues
Document Type
article
Source
Theory of Computing. 15(1)
Subject
discrepancy
random walks
Computation Theory and Mathematics
Cognitive Sciences
Language
Abstract
A classic result of Banaszczyk (Random Str. & Algor. 1997) states that given any n vectors in Rm with ℓ2-norm at most 1 and any convex body K in Rm of Gaussian measure at least half, there exists a ±1 combination of these vectors that lies in 5K. Banaszczyk’s proof of this result was non-constructive and it was open how to find such a ±1 combination in polynomial time. In this paper, we give an efficient randomized algorithm to find a ±1 combination of the vectors which lies in cK for some fixed constant c > 0. This leads to new efficient algorithms for several problems in discrepancy theory.