Theory and Computation of Complex Tensors and its Applications
The book provides an introduction of very recent results about the tensors and mainly focuses on the authors' work and perspective. A systematic description about how to extend the numerical linear algebra to the numerical multi-linear algebra is also delivered in this book. The authors design the neural network model for the computation of the rank-one approximation of real tensors, a normalization algorithm to convert some nonnegative tensors to plane stochastic tensors and a probabilistic algorithm for locating a positive diagonal in a nonnegative tensors, adaptive randomized algorithms for computing the approximate tensor decompositions, and the QR type method for computing U-eigenpairs of complex tensors. This book could be used for the Graduate course, such as Introduction to Tensor. Researchers may also find it helpful as a reference in tensor research.
yazar | Maolin Che |
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Boyutlar ve boyutlar | 15.6 x 1.6 x 23.39 cm |
Tarafından yayınlandı | 2 Nisan 2020 |
18,9 x 0,6 x 24,6 cm 15 x 0,5 x 22 cm Mdpi AG 18,9 x 0,3 x 24,6 cm 18,9 x 0,2 x 24,6 cm 30 Ekim 2011 28 Şubat 2018 Kolektif Additional Contributors 18,9 x 0,4 x 24,6 cm 28 Ekim 2011 ERWIN N GRISWOLD WADE H MCCREE 3 Ocak 2017 ROBERT H BORK 18,9 x 0,5 x 24,6 cm 1 Ocak 2017 29 Ekim 2011
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Sürüm ayrıntıları
yazar | Maolin Che Yimin Wei |
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isbn 10 | 9811520585 |
isbn 13 | 978-9811520587 |
Yayımcı | Springer |
Boyutlar ve boyutlar | 15.6 x 1.6 x 23.39 cm |
Tarafından yayınlandı Theory and Computation of Complex Tensors and its Applications | 2 Nisan 2020 |
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