Uncertainty quantification in variational inequalities: theory, numerics, and applications

"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 comp...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Gwinner, Joachim 1950- (VerfasserIn), Jadamba, Baasansuren 1971- (VerfasserIn), Khan, Akhtar A. (VerfasserIn), Raciti, Fabio (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2022
Ausgabe:First edition
Schlagworte:
Online-Zugang:TUM01
Zusammenfassung:"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 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. Features First book on uncertainty quantification in variational inequalities emerging from various network, economic, and engineering models. Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature"--
Beschreibung:1 Online-Ressource Illustrationen
ISBN:9781315228969
1315228963
9781351857659
1351857657
9781351857673
1351857673
9781351857666
1351857665

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