randomized_block_krylov_svd.hpp File Reference
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Classes

class  RandomizedBlockKrylovSVD
 Randomized block krylov SVD is a matrix factorization that is based on randomized matrix approximation techniques, developed in in "Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition". More...

 

Namespaces

 mlpack
 
Linear algebra utility functions, generally performed on matrices or vectors.
 
 mlpack::svd
 

Detailed Description

Author
Marcus Edel

An implementation of the randomized block krylov SVD method.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Definition in file randomized_block_krylov_svd.hpp.