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

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Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications - Gwinner, Joachim, and Jadamba, Baasansuren, and Khan, Akhtar A
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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: Theory, Numerics, and Applications 2021, CRC Press, Oxford

ISBN-13: 9781138626324

Hardcover