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Data-Driven Models in Inverse Problems / Tatiana A. Bubba.
De Gruyter DG Plus DeG Package 2025 Part 1 Available online
De Gruyter DG Plus DeG Package 2025 Part 1- Format:
- Book
- Series:
- Radon series on computational and applied mathematics ; 31.
- Radon series on computational and applied mathematics ; Volume 31
- Language:
- English
- Subjects (All):
- Inverse problems (Differential equations).
- Mathematical models.
- Physical Description:
- 1 online resource (VIII, 498 pages)
- Place of Publication:
- Berlin ; Boston : De Gruyter, [2025]
- Summary:
- 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.
- Notes:
- Includes bibliographical references and index.
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- ISBN:
- 9783111251295
- 9783111251233
- 3111251233
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