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Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications Joachim Gwinner
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.
404 pages, 19 Tables, black and white; 7 Line drawings, black and white; 7 Illustrations, black and
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 27 de mayo de 2024 |
| ISBN13 | 9781032148496 |
| Editores | Taylor & Francis Ltd |
| Páginas | 404 |
| Dimensiones | 157 × 232 × 25 mm · 606 g |
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