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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Writer
Gwinner, Joachim, Jadamba, Baasansuren, Khan, Akhtar A., Raciti, Fabio (University of Catania
Title
Uncertainty Quantification in Variational Inequalities
Publisher
Taylor & Francis Ltd
Year
2024
Language
English
Pages
404
Weight
606 gr
EAN
9781032148496
Dimensions
232 x 157 x 25 mm
Binding format
Paperback / softback

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