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.
| ISBN: | 9783111250038 |
|---|---|
| Auflage: | 1 |
| Sprache: | Englisch |
| Seitenzahl: | 508 |
| Produktart: | Gebunden |
| Herausgeber: | Bubba, Tatiana A. |
| Verlag: | De Gruyter |
| Veröffentlicht: | 18.11.2024 |
| Schlagworte: | Computergestützte Bildgebung Computerized imaging Deep neural networks Numerical methods for inverse problems Numerische Methoden für inverse Probleme Regularisierung inverser Probleme Regularization of inverse problems Signal processing Signalverarbeitung Tiefe Neuronale Netze |
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