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Algebraic and Computational Aspects of Real Tensor Ranks

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Algebraic and Computational Aspects of Real Tensor Ranks Synopsis

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.

About This Edition

ISBN: 9784431554585
Publication date:
Author: Toshio Sakata, Toshio Sumi, Mitsuhiro Miyazaki, Takanori Maehara
Publisher: Springer an imprint of Springer Japan
Format: Paperback
Pagination: 108 pages
Series: SpringerBriefs in Statistics
Genres: Probability and statistics
Social research and statistics
Mathematical and statistical software