| 书目名称 | Theory and Computation of Complex Tensors and its Applications |
| 编辑 | Maolin Che,Yimin Wei |
| 视频video | http://file.papertrans.cn/924/923621/923621.mp4 |
| 概述 | Introduces the neural network models and Takagi factorization for the computation of tensor rank-one approximations and US- (U-) eigenvalues.Enriches the properties of nonnegative tensors, defines the |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2020 |
| 关键词 | tensor spectral theory; tensor complementarity problems; nonnegative tensors; U-eigenpairs; randomized a |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-2059-4 |
| isbn_softcover | 978-981-15-2061-7 |
| isbn_ebook | 978-981-15-2059-4 |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
|Archiver|手机版|小黑屋|
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