Data-driven Models in Inverse Problems (eBook, ePUB)

Redaktion: Bubba, Tatiana A.

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: De Gruyter
• Seitenzahl: 508
• Erscheinungstermin: 18. November 2024
• Englisch
• ISBN-13: 9783111251295
• Artikelnr.: 72354028