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 ...
Abstract: This paper examines the performance issues associated with computing devices performing arithmetic operations on large matrices. One of the optimal methods for matrix multiplication is to ...
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