Abstract: The low-rank approximation of big data matrices and tensors plays a pivotal role in many modern applications. Recently, the randomized subspace iteration has shown to be a powerful tool in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback