| Chen C. Tensor-Based Dynamical Systems. Theory and Applications 2024.pdf | 3.61 MB |
Textbook in PDF format
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.
Preface.
Acknowledgements.
Tensor Preliminaries.
Tucker Product-Based Dynamical Systems.
Einstein Product-Based Dynamical Systems.
Tensor Vector Product-Based Dynamical Systems.
Contracted Product-Based Dynamical Systems.
t-Product-Based Dynamical Systems
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