Uncertainty Quantification in Variational Inequalities

Explore the intriguing world of uncertainty quantification in "Uncertainty Quantification in Variational Inequalities" by Baasansuren Jadamba, published by Taylor & Francis Ltd in 2021. This essential hardback, spanning 404 pages, provides an in-depth analysis of uncertainty quantification techniques specifically tailored for variational inequalities and their generalizations derived from network, economic, and engineering models.

Delve into innovative methodologies that not only enhance your understanding of variational inequalities but also extend their application to cutting-edge fields such as machine learning and neural networks. This book is a valuable resource for academics, researchers, and professionals looking to harness the power of uncertainty quantification in complex systems.

Perfect for anyone eager to expand their knowledge and application of calculus of variations, this comprehensive guide will be an indispensable addition to your library. Don’t miss the opportunity to elevate your understanding in this significant area of study!