Uncertainty quantification in variational inequalities: theory, numerics, and applications
Auteur :
Gwinner, Joachim / Jadamba, Baasansuren / Khan, Akhtar A. / Raciti, Fabio
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032148496
Date de publication :
27 mai 2024
Dimensions :
23,4 x 15,6 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.