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• W3021574402 abstract "This paper is devoted to the computation of low multilinear rank approximations of tensors. Combining the stretegy of power scheme, random projection, and singular value decomposition, we derive a three-stage randomized algorithm for the low multilinear rank approximation. Based on the singular values of sub-Gaussian matrices, we derive the error bound of the proposed algorithm with high probability. We illustrate the proposed algorithms via several numerical examples." @default.
• W3021574402 created "2020-05-13" @default.
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• W3021574402 date "2020-01-01" @default.
• W3021574402 modified "2023-10-17" @default.
• W3021574402 title "The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection" @default.
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• W3021574402 doi "https://doi.org/10.1137/19m1237016" @default.
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