Joachim Gwinner,Baasansuren Jadamba,Akhtar A. Khan,FabioRaciti
Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications
Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications
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- More about Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications
Format: Paperback / softback
Length: 404 pages
Publication date: 27 May 2024
Publisher: Taylor & Francis Ltd
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.
Weight: 606g
Dimension: 232 x 157 x 25 (mm)
ISBN-13: 9781032148496
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