Uncertainty Quantification in Variational Inequalities

Name: Uncertainty Quantification in Variational Inequalities
Brand: CRC Press

CRC Press

Uncertainty Quantification in Variational InequalitiesTheory, Numerics, and Applications\nAuthor(s): Joachim Gwinner, Baasansuren Jadamba, Akhtar A. Khan, Fabio Raciti\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781138626324, 978-1138626324\nSynopsis\nUncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ 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.\n\nFeatures\n\nFirst book on UQ in variational inequalities emerging from various network, economic, and engineering models\n\nCompletely sele