Data-driven Models in Inverse Problems
| Author | : Tatiana A. Bubba |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 664 |
| Release | : 2024-11-18 |
| ISBN-10 | : 9783111251295 |
| ISBN-13 | : 3111251292 |
| Rating | : 4/5 (95 Downloads) |
Book Synopsis Data-driven Models in Inverse Problems by : Tatiana A. Bubba
Download or read book Data-driven Models in Inverse Problems written by Tatiana A. Bubba and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-11-18 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the inverse problem community and shows how to successfully combine model- and data-driven approaches to gain insight into practical and theoretical issues.
