Data-driven Models in Inverse Problems
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.
1145969652
Data-driven Models in Inverse Problems
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.
210.0
In Stock
5
1
Data-driven Models in Inverse Problems
508
Data-driven Models in Inverse Problems
508
210.0
In Stock
Product Details
| ISBN-13: | 9783111250038 |
|---|---|
| Publisher: | De Gruyter |
| Publication date: | 11/18/2024 |
| Series: | Radon Series on Computational and Applied Mathematics , #31 |
| Pages: | 508 |
| Product dimensions: | 6.69(w) x 9.45(h) x (d) |
| Age Range: | 18 Years |
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