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Data-driven Models in Inverse Problems

Radon Series on Computational and Applied Mathematics 31

Erschienen am 18.11.2024, 1. Auflage 2024
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Bibliografische Daten
ISBN/EAN: 9783111250038
Sprache: Englisch
Umfang: VIII, 500 S., 36 s/w Illustr., 80 farbige Illustr.
Einband: gebundenes Buch

Beschreibung

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.

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De Gruyter GmbH
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