Manifold Learning
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers,...
0 like counts
117 pages
2024-02-21 Published
Advanced Mathematical Science for Mobility Society
Hanna Sumita, Kazuhisa Makino, Kazushi Ikeda, Nobuo Yamashita, Satoshi Tsujimoto, Shintaro Yoshizawa, Yoshiumi Kawamura
This open access book presents the mathematical methods for huge data and network analysis. The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric...
0 like counts
215 pages
2024-04-14 Published
Mathematical Modeling and Simulation with MATLAB
This textbook attempts to provide you with an overview of the commonly used basic mathematical models, as well as a wide range of applications. It offers a perspective that brings...
0 like counts
213 pages
2021 Published
Machine Learning with Neural Networks
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the...
0 like counts
241 pages
2021-10-28 Published
Mathematical Introduction to Deep Learning
This book aims to provide an introduction to the topic of deep learning algorithms. We review essential components of deep learning algorithms in full mathematical detail including different artificial neural...
0 like counts
601 pages
2023-10-31 Published
The Principles of Deep Learning Theory
This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations...
1 like counts
472 pages
2022-05-26 Published