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Title
Computational mechanics with deep learning : an introduction / Genki Yagawa, Atsuya Oishi.
ISBN
9783031118470 (electronic bk.)
3031118472 (electronic bk.)
3031118464
9783031118463
Publication Details
Cham, Switzerland : Springer, [2023]
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-031-11847-0 doi
Call Number
TA350
Dewey Decimal Classification
620.10028563/1
Summary
This book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Series
Lecture notes on numerical methods in engineering and sciences.
Available in Other Form
Print version: 9783031118463
1. Overview
2. Mathematical Background for Deep Learning
3. Computational Mechanics with Deep Learning
4. Numerical Quadrature with Deep Learning
5. Improvement of Finite Element Solutions with Deep Learning
6. Contact Mechanics with Deep Learning
7. Flow Simulation with Deep Learning
8. Further Applications with Deep Learning
9. Bases for Computer Programming
10. Computer Programming for a Representative Problem.
