Theory and Computation of Tensors

Multi-Dimensional Arrays

Häftad, Engelska, 2016

641 kr

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Beskrivning

Theory and Computation of Tensors: Multi-Dimensional Arrays investigates theories and computations of tensors to broaden perspectives on matrices. Data in the Big Data Era is not only growing larger but also becoming much more complicated. Tensors (multi-dimensional arrays) arise naturally from many engineering or scientific disciplines because they can represent multi-relational data or nonlinear relationships.

Provides an introduction of recent results about tensors
Investigates theories and computations of tensors to broaden perspectives on matrices
Discusses how to extend numerical linear algebra to numerical multi-linear algebra
Offers examples of how researchers and students can engage in research and the applications of tensors and multi-dimensional arrays

Produktinformation

Utgivningsdatum:2016-08-15
Mått:152 x 229 x 13 mm
Vikt:180 g
Format:Häftad
Språk:Engelska
Antal sidor:148
Förlag:Elsevier Science
ISBN:9780128039533

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Tillämpad matematik inom Naturvetenskap och teknik
Matematik inom Naturvetenskap och teknik

Mer om författaren

Yimin Wei is a Professor at the School of Mathematical Sciences, Fudan University, Shanghai, P.R. of China. He has has published three English books and over 100 research papers in international journals. His studies on tensors are supported by the National Natural Science Foundation of China. Weiyang Ding is a Ph.D student under the supervision of Professor Wei, at the School of Mathematical Sciences, Fudan University, Shanghai, P.R. of China.

Recensioner i media

"The book should be useful as a reference for research workers in linear algebra, operator theory, mathematical physics and numerical analysis." --MathSciNet"Roughly half the book is devoted to defining and developing properties of tensors, and the other half to algorithms." --MAA Reviews

Innehållsförteckning

1. Introduction and Preliminaries2. Hankel Tensors3. Generalized Tensor Eigenvalue Problems4. M-Tensors and Multi-Linear Equations5. Tensor Logarithmic Norms6. Multi-Linear Discriminant Analysis