Tensor-Based Dynamical Systems
Tensor-Based Dynamical Systems
Tensor-Based Dynamical Systems
Can Chen

Tensor-Based Dynamical Systems

Theory and Applications

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  • Description

    This book provides a comprehensive review on tensor algebra, including tensor products, tensor unfolding, tensor eigenvalues, and tensor decompositions.

    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.

    Specifications

    Publisher Springer International Publishing AG
    Pub date April 2, 2025
    Theme Maths for engineers
    EAN 9783031545078
    Binding Paperback
    Language English

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