Deep Learning Methods of Mathematical Physics: Volume I: Direct and Inverse Problems
by Calin Ovidiu, Hans Peter Dietz
Explores deep learning techniques for solving direct and inverse problems in mathematical physics, aimed at researchers and advanced students.
About This Book
This volume presents advanced methods at the intersection of deep learning and mathematical physics.
Readers will find discussions on both direct and inverse problems in the field.
The text is designed for researchers and students seeking to understand modern computational approaches.
Emphasis is placed on rigorous mathematical foundations and practical applications.
Reviews
No reviews yet. Be the first to review this book!