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

By Akhtar Khan, Baasansuren Jadamba, Fabio Raciti, et al.

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.

• Format: Hardcover
• Language: English
• ISBN: 1138626325
• ISBN13: 9781138626324
• Release Date: December 2021
• Publisher: CRC Press
• Length: 404 Pages
• Weight: 1.64 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"