Data-Driven Models in Inverse Problems

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.

• Format: Hardcover
• Language: English
• ISBN: 3111250032
• ISBN13: 9783111250038
• Release Date: November 2024
• Publisher: de Gruyter
• Length: 508 Pages
• Weight: 2.21 lbs.
• Dimensions: 1.1" x 6.7" x 9.6"