A Randomized Singular Value Decomposition for Third-Order Oriented Tensors
A Randomized Singular Value Decomposition for Third-Order Oriented Tensors
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
The oriented singular value decomposition (O-SVD) proposed by Zeng and Ng provides a hybrid approach to the t-product-based third-order tensor singular value decomposition with the transformation matrix being a factor matrix of the higher-order singular value decomposition. Continuing along this vein, this paper explores realizing the O-SVD efficie...
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Full title
A Randomized Singular Value Decomposition for Third-Order Oriented Tensors
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Author / Creator
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TN_cdi_proquest_journals_2797985508
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2797985508
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ISSN
0022-3239
E-ISSN
1573-2878
DOI
10.1007/s10957-023-02177-5
