most citedA Randomized Tensor Singular Value Decomposition based on the t-product

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math.NA2023★ 1 cited

Randomized low-rank approximations beyond Gaussian random matrices

Arvind K. Saibaba, Agnieszka Międlar

This paper expands the analysis of randomized low-rank approximation beyond the Gaussian distribution to four classes of random matrices: (1) independent sub-Gaussian entries, (2)…

math.NA2016★ 2 cited

A Randomized Tensor Singular Value Decomposition based on the t-product

Jiani Zhang, Arvind K. Saibaba, Misha Kilmer +1

The tensor Singular Value Decomposition (t-SVD) for third order tensors that was proposed by Kilmer and Martin~\cite{2011kilmer} has been applied successfully in many fields, such…