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Efficient Randomized Algorithms for Computing an Approximation of the Tensor Train Decomposition

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Τίτλος: Efficient Randomized Algorithms for Computing an Approximation of the Tensor Train Decomposition
Συγγραφείς: Che, MaolinAff1, Wei, YiminAff2, IDs10915026032089_cor1, Yan, HongAff3
Πηγή: Journal of Scientific Computing. 107(1)
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10915-026-03208-9
    Name: EDS - Springer Nature Journals (s7799221)
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PubType: Academic Journal
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  Data: <i>Journal of Scientific Computing</i>. 107(1)
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      – Type: doi
        Value: 10.1007/s10915-026-03208-9
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      – Text: English
    Titles:
      – TitleFull: Efficient Randomized Algorithms for Computing an Approximation of the Tensor Train Decomposition
        Type: main
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            NameFull: Che, Maolin
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            NameFull: Wei, Yimin
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            NameFull: Yan, Hong
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          Dates:
            – D: 01
              M: 04
              Type: published
              Y: 2026
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              Value: 107
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