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Algebraic and Computational Aspects of Real Tensor Ranks / by Toshio Sakata, Toshio Sumi, Mitsuhiro Miyazaki
(JSS Research Series in Statistics. ISSN:23640065)

1st ed. 2016.
出版者 (Tokyo : Springer Japan : Imprint: Springer)
出版年 2016
大きさ VIII, 108 p. 5 illus : online resource
著者標目 *Sakata, Toshio author
Sumi, Toshio author
Miyazaki, Mitsuhiro author
SpringerLink (Online service)
件 名 LCSH:Statistics 
LCSH:Mathematical statistics—Data processing
LCSH:Social sciences—Statistical methods
FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
FREE:Statistics and Computing
FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
一般注記 Basics of Tensor Rank -- 3-Tensors -- Simple Evaluation Methods of Tensor Rank -- Absolutely Nonsingular Tensors and Determinantal Polynomials -- Maximal Ranks -- Typical Ranks -- Global Theory of Tensor Ranks -- 2 × 2 × · · · × 2 Tensors
This book provides comprehensive summaries of theoretical (algebraic) and computational aspects of tensor ranks, maximal ranks, and typical ranks, over the real number field. Although tensor ranks have been often argued in the complex number field, it should be emphasized that this book treats real tensor ranks, which have direct applications in statistics. The book provides several interesting ideas, including determinant polynomials, determinantal ideals, absolutely nonsingular tensors, absolutely full column rank tensors, and their connection to bilinear maps and Hurwitz-Radon numbers. In addition to reviews of methods to determine real tensor ranks in details, global theories such as the Jacobian method are also reviewed in details. The book includes as well an accessible and comprehensive introduction of mathematical backgrounds, with basics of positive polynomials and calculations by using the Groebner basis. Furthermore, this book provides insights into numerical methods of finding tensor ranks through simultaneous singular value decompositions
HTTP:URL=https://doi.org/10.1007/978-4-431-55459-2
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Springer eBooks 9784431554592
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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519
書誌ID 4000117032
ISBN 9784431554592

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