Data-driven Models in Inverse Problems

English | 2024 | ISBN: 978-3111250038 | 508 Pages | PDF, EPUB | 114 MB

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.