Computational mechanics with deep learning [electronic resource] : an introduction / Genki Yagawa, Atsuya Oishi.
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 appl...
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| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2023]
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| Series: | Lecture notes on numerical methods in engineering and sciences.
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| Subjects: |
Table of Contents:
- 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.