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Data-Driven Models in Inverse Problems|Tatiana A. Bubba

Data-Driven Models in Inverse Problems

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Overview

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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Details

  • ISBN-13: 9783111250038
  • ISBN-10: 3111250032
  • Publisher: de Gruyter
  • Publish Date: November 2024
  • Dimensions: 9.61 x 6.69 x 1.13 inches
  • Shipping Weight: 2.21 pounds
  • Page Count: 508

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