Computational mechanics with deep learning: an introduction / by Yagawa, Genki & Oishi, Atsuya.

By:

Yagawa, Genki [author.]

Contributor(s):

Oishi, Atsuya [author.]

Material type: Text

TextSeries: Lecture notes on numerical methods in engineering and sciencesPublication details: Cham, Switzerland : Springer, 2023.Description: xiv, 402 pages: col. illus. ; 24 cmISBN:

9783031118463

Subject(s):

DDC classification:

Ref 620.1 Y10c 2023

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

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" -- Back cover

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode	Course reserves
Books	ASCOT Library - Zabali Campus Reference	Reference	Ref 620.1 Y10c 2023 C1 04626 (Browse shelf(Opens below))	Available	Ref6201004626	List of New Acquisitions
Books	ASCOT Library - Zabali Campus Reference	Reference	Ref 620.1 Y10c 2023 C2 04627 (Browse shelf(Opens below))	Available	Ref6201004627	List of New Acquisitions

Includes bibliographical references and index.

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

"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" -- Back cover

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