Randomized Algorithms for Low-Rank Matrix Factorizations:Sharp Performance Bounds     Randomized Algorithms  Low-Rank Matrix Factorizations  Sharp Performance Bounds       font style='font-size:12px;'> 2015/6/17

The development of randomized algorithms for numerical linear algebra, e.g. for computing approximate QR and SVD factorizations, has recently become an intense area of research. This paper studies one...

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