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

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

Hardcover

General MathematicsProbability & Statistics

ISBN10: 1138626325
ISBN13: 9781138626324
Publisher: Crc Pr Inc
Published: Dec 21 2021
Pages: 404
Weight: 1.64
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ 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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Gwinner, Joachim

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General Mathematics