Tensor-Based Dynamical Systems

Theory and Applications
de

Éditeur :

Springer

Paru le : 2024-03-04

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 da...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2024-03-04

Pages
106 pages

EAN papier
9783031545047

Auteur(s) du livre


Can Chen, Ph.D. is an Assistant Professor in the School of Data Science and Society with a second appointment in the Department of Mathematics at the University of North Carolina at Chapel Hill. He received the B.S. degree in Mathematics from the University of California, Irvine in 2016, and the M.S. degree in Electrical and Computer Engineering and the Ph.D. degree in Applied and Interdisciplinary Mathematics from the University of Michigan in 2020 and 2021, respectively. He was a Postdoctoral Research Fellow in the Channing Division of Network Medicine at Brigham and Women's Hospital and Harvard Medical School from 2021 to 2023. His research interests span a diverse range of fields, including control theory, network science, tensor algebra, numerical analysis, data science, machine learning, deep learning, hypergraph learning, data analysis, and computational biology.

Caractéristiques détaillées - droits

EAN PDF
9783031545054
Prix
63,29 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3727 Ko
EAN EPUB
9783031545054
Prix
63,29 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
9503 Ko

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