Fast randomized tensor singular value thresholding for low‐rank tensor optimization

DOI10.1002/nla.2444OpenAlexW4224004319WikidataQ114235396 ScholiaQ114235396MaRDI QIDQ5878508

Xi-Le Zhao, Xue-Zhong Wang, Yi-Min Wei, Mao-Lin Che

Publication date: 21 February 2023

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nla.2444

zbMATH Keywords

tensor robust principal component analysistensor-tensor productt-SVDrandomized t-SVDrandomized t-SVTt-SVT

Mathematics Subject Classification ID

Multilinear algebra, tensor calculus (15A69) Numerical methods for low-rank matrix approximation; matrix compression (65F55)

Related Items (5)

Characterizations and Perturbations of the Core-EP Inverse of Tensors Based on the T-Product ⋮ The Moore-Penrose inverse of tensors via the M-product ⋮ An efficient randomized fixed-precision algorithm for tensor singular value decomposition ⋮ Random Double Tensors Integrals ⋮ A fixed point iterative method for third-order tensor linear complementarity problems

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