Uncertainty Quantification in Variational Inequalities
Theory, Numerics, and Applications
Description
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.
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'Uncertainty Quantification in Variational Inequalities - Gwinner, Joachim, Jadamba, Baasansuren, Khan, Akhtar A., Raciti, Fabio (University of Catania'.
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