Tensor Eigenvalues and Their Applications

Author:   Liqun Qi ,  Haibin Chen ,  Yannan Chen
Publisher:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   39
ISBN:  

9789811340505


Pages:   329
Publication Date:   01 May 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Tensor Eigenvalues and Their Applications


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Overview

This book offers an introduction to applications prompted by tensor analysis, especially by the spectral tensor theory developed in recent years. It covers applications of tensor eigenvalues in multilinear systems, exponential data fitting, tensor complementarity problems, and tensor eigenvalue complementarity problems. It also addresses higher-order diffusion tensor imaging, third-order symmetric and traceless tensors in liquid crystals, piezoelectric tensors, strong ellipticity for elasticity tensors, and higher-order tensors in quantum physics. This book is a valuable reference resource for researchers and graduate students who are interested in applications of tensor eigenvalues.

Full Product Details

Author:   Liqun Qi ,  Haibin Chen ,  Yannan Chen
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   39
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.528kg
ISBN:  

9789811340505


ISBN 10:   9811340501
Pages:   329
Publication Date:   01 May 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

This carefully written book is really useful for students, researchers, practitioners, and anybody who is interested in tensors, numerical multilinear algebra, and related subjects. This book will provide a good base for further research on tensor eigenvalue applications in these and some more areas. I definitely recommend this book! (Guyan Ni, Mathematical Reviews, December, 2018)


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