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.
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.
Data-driven Models in Inverse Problems
508
Data-driven Models in Inverse Problems
508Related collections and offers
Product Details
| ISBN-13: | 9783111251295 |
|---|---|
| Publisher: | De Gruyter |
| Publication date: | 11/18/2024 |
| Series: | Radon Series on Computational and Applied Mathematics , #31 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 508 |
| File size: | 43 MB |
| Note: | This product may take a few minutes to download. |
| Age Range: | 18 Years |