Book PDf: Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Download Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Author: Yinpeng Wang, Qiang Ren

ISBN: 9781003397830

Publisher: CRC Press

Year: 2024

Publisher Edition (Original Quality)

Save

User Rating: (4.7):

File Size

8.9 MB

Pages

199

Price: 6.99€

Description

Introduction to the book Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems The book Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems, written by Deffieux and Descamps, is considered one of the most important works in its field. This book contains valuable and useful content that is highly suitable for those interested in this subject.

About the book Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems By drawing on the authors' experience and knowledge, this work provides readers with comprehensive and practical information.

Experience downloading the book Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems through the Cyber Uni website.

Best Selling Books
Nanofillers: Fabrication, Characterization...
Nanofillers: Fabrication, Characterization and Applications of Inorganic Nanofillers
Author:

Sharma B., Chaudhary...

Year:

2024

Nanofillers: Fabrication, Characterization...
Nanofillers: Fabrication, Characterization and Applications of Organic Nanofillers
Author:

Chaudhary V., Sharma...

Year:

2024

Security in Computing,...
Security in Computing, 6th Edition (Final)
Author:

Charles P. Pfleeger;...

Year:

2024