
Data-Driven Models in Inverse Problems (English, Tatiana A. Bubba)
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Specifications
| Publisher | de Gruyter |
| Language | English |
| ISBN-13 | 9783111250038 |
| ISBN-10 | 3111250032 |
| Author | Tatiana A. Bubba |
Product Description
Here on GlowMirror, you'll find Data-Driven Models in Inverse Problems filed under de Gruyter -- everything you need to know is covered below.
About the Book
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.
ISBN: 9783111250038
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Data-Driven Models in Inverse Problems
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in de Gruyter
Who Should Read This
Students and professionals interested in de Gruyter, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy





