Improved analysis of the subsampled randomized Hadamard transform. (English) Zbl 1232.15029

This paper present an improved analysis of a structured dimension-reduction map called subsampled randomized Hadamard transform (SRHT). The new argument indicates that the SRHT preserves the Euclidean geometry of an entire space of vectors, which is essential for the SRHT to be used in algorithms for randomized linear algebra. The proof is much simpler than the previous approaches and it offers for the first time optimal constants in the estimate on the number of dimensions required for the embedding.


15B52 Random matrices (algebraic aspects)
15B34 Boolean and Hadamard matrices
15A04 Linear transformations, semilinear transformations
65F30 Other matrix algorithms (MSC2010)
Full Text: DOI arXiv


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