Data Driven Models In Inverse Problems
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Data-driven Models in Inverse Problems
Author: Tatiana A. Bubba
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2024-11-18
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.
Data-driven Models in Inverse Problems
Author: Tatiana A. Bubba
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2024-11-18
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.
Data Modeling for the Sciences
Author: Steve Pressé
language: en
Publisher: Cambridge University Press
Release Date: 2023-08-31
A self-contained and accessible guide to probabilistic data modeling, ideal for students and researchers in the natural sciences.