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Data driven Models in Inverse Problems Radon Series on Computational and Applied Mathematics 31

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Description

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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Product Details

  • De Gruyter Brand
  • Nov 18, 2024 Pub Date:
  • 9783111250038 ISBN-13:
  • 3111250032 ISBN-10:
  • English Language
  • 9.61 in * 1.13 in * 6.69 in Dimensions:
  • 2 lb Weight: