Data-driven Models in Inverse Problems

Buch | Hardcover

VIII, 500 Seiten

2024
De Gruyter (Verlag)
978-3-11-125003-8 (ISBN)

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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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Erscheinungsdatum	16.10.2024
Reihe/Serie	Radon Series on Computational and Applied Mathematics ; 31
Zusatzinfo	36 b/w and 80 col. ill.
Verlagsort	Berlin/Boston
Sprache	englisch
Maße	170 x 240 mm
Gewicht	965 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
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
ISBN-10	3-11-125003-2 / 3111250032
ISBN-13	978-3-11-125003-8 / 9783111250038
Zustand	Neuware