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.
Autorenporträt
long Bio (mandatory for Amazon Top Titles)
Herstellerkennzeichnung:
Walter de Gruyter GmbH
De Gruyter GmbH
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DE
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