Tensor-Based Dynamical Systems

Theory and Applications de

Éditeur :

Springer


Paru le : 2024-03-04

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Description
This book provides a comprehensive review on tensor algebra, including tensor products, tensor unfolding, tensor eigenvalues, and tensor decompositions. Tensors are multidimensional arrays generalized from vectors and matrices, which can capture higher-order interactions within multiway data. In addition, tensors have wide applications in many domains such as signal processing, machine learning, and data analysis, and the author explores the role of tensors/tensor algebra in tensor-based dynamical systems where system evolutions are captured through various tensor products. The author provides an overview of existing literature on the topic and aims to inspire readers to learn, develop, and apply the framework of tensor-based dynamical systems.



Pages
106 pages
Collection
n.c
Parution
2024-03-04
Marque
Springer
EAN papier
9783031545047
EAN PDF
9783031545054

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3727 Ko
Prix
63,29 €
EAN EPUB
9783031545054

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
9503 Ko
Prix
63,29 €

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