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Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications Joachim Gwinner 1st edition
Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications
Joachim Gwinner
The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields.
300 pages, 50 Illustrations, black and white
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 21, 2021 |
| ISBN13 | 9781138626324 |
| Publishers | Taylor & Francis Ltd |
| Pages | 404 |
| Dimensions | 242 × 162 × 31 mm · 740 g |
| Language | English |
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