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Reconstruction and Subgaussian Operators in Asymptotic Geometric Analysis

Mendelson, Shahar; Pajor, Alain; Tomczak-Jaegermann, Nicole


We present a randomized method to approximate any vector from a set. The data one is given is the set T, vectors of and k scalar products, where are i.i.d. isotropic subgaussian random vectors in R, and N. We show that with high probability, any which is

CollectionsANU Research Publications
Date published: 2007
Type: Journal article
Source: Geometric and Functional Analysis
DOI: 10.1007/s00039-007-0618-7


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