Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications

Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications 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. Autor: Joachim Gwinner, Baasansuren Jadamba Wydawnictwo: Taylor & Francis Rok wydania: 2024 Okładka: miękka Liczba stron: 404 Wymiary: 23.2 x 15.7 x 2.5 cm Ilustracje: 19 Tables, black and white; 7 Line drawings, black and white; 7 Illustrations, black and white Język: angielski ISBN: 9781032148496