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Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications Joachim Gwinner
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 27. maijs |
| ISBN13 | 9781032148496 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 404 |
| Izmēri | 157 × 232 × 25 mm · 606 g |
