Reconstruction and Subgaussian Operators in Asymptotic Geometric Analysis
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Mendelson, Shahar; Pajor, Alain; Tomczak-Jaegermann, Nicole
Description
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
Collections | ANU Research Publications |
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Date published: | 2007 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/38944 |
Source: | Geometric and Functional Analysis |
DOI: | 10.1007/s00039-007-0618-7 |
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01_Mendelson_Reconstruction_and_Subgaussian_2007.pdf | 357.68 kB | Adobe PDF | Request a copy |
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