Theory and Computation of Tensors

This book PDF is perfect for those who love Mathematics genre, written by Yimin Wei and published by Academic Press which was released on 28 August 2016 with total hardcover pages 148. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Theory and Computation of Tensors books below.

Theory and Computation of Tensors
Theory and Computation of Tensors
Author : Yimin Wei
File Size : 40,5 Mb
Publisher : Academic Press
Language : English
Release Date : 28 August 2016
ISBN : 9780128039809
Pages : 148 pages
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Theory and Computation of Tensors by Yimin Wei Book PDF Summary

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

Theory and Computation of Tensors

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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

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Theory and Computation of Tensors

Theory and Computation of Tensors by Yimin Wei,Weiyang Ding

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

Get Book
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Tensors, or hypermatrices, are multi-arrays with more than two indices. In the last decade or so, many concepts and results in matrix theory?some of which are nontrivial?have been extended to tensors and have a wide range of applications (for example, spectral hypergraph theory, higher order Markov chains, polynomial

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