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Data-Driven Models in Inverse Problems

Data-Driven Models in Inverse Problems - Radon Series on Computational and Applied Mathematics

Hardback (18 Nov 2024)

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Publisher's Synopsis

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.

Book information

ISBN: 9783111250038
Publisher: De Gruyter
Imprint: De Gruyter
Pub date:
DEWEY: 515.357
DEWEY edition: 23
Language: English
Number of pages: 585
Weight: 965g
Height: 240mm
Width: 170mm
Spine width: 29mm