Synthesis Lectures on Mathematics & Statistics: Theory and Applications

Chen, Can

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.

Details

Published by: Springer

Publication Date: 2024-03-05

Format: Hardcover

ISBN-13: 9783031545047

DOI: 10.1007/978-3-031-54505-4

Dimensions: 240cm x168cm

Pages: 106