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...
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Hauptverfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
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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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Datensatz im Suchindex
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author | Gwinner, Joachim 1950- Jadamba, Baasansuren 1971- Khan, Akhtar A. Raciti, Fabio |
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discipline | Informatik Mathematik |
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spelling | Gwinner, Joachim 1950- Verfasser (DE-588)1167782097 aut Uncertainty quantification in variational inequalities theory, numerics, and applications Joachim Gwinner (University of the Federal Army Munich, Germany), Baasansuren Jadamba (Rochester Institute of Technology, USA), Akhtar A. Khan (Rochester Institute of Technology, USA), Fabio Raciti (University of Catania, Italy) First edition Boca Raton ; London ; New York CRC Press 2022 1 Online-Ressource Illustrationen txt rdacontent c rdamedia cr rdacarrier "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"-- Informationstheorie (DE-588)4026927-9 gnd rswk-swf Variationsungleichung (DE-588)4187420-1 gnd rswk-swf Measurement uncertainty (Statistics) Variational inequalities (Mathematics) Research / Methodology Incertitude de mesure Inégalités variationnelles Recherche / Méthodologie MATHEMATICS / Number Systems MATHEMATICS / Probability & Statistics / Bayesian Analysis MATHEMATICS / Applied Electronic books (DE-588)4016928-5 Festschrift gnd-content Informationstheorie (DE-588)4026927-9 s Variationsungleichung (DE-588)4187420-1 s DE-604 Jadamba, Baasansuren 1971- Verfasser (DE-588)129387703 aut Khan, Akhtar A. Verfasser (DE-588)1106856139 aut Raciti, Fabio Verfasser aut Giannessi, Franco 1935- (DE-588)124827306 hnr Print version Gwinner, Joachim Uncertainty quantification in variational inequalities First edition Boca Raton : Chapman & Hall/CRC Press, 2022 Druck-Ausgabe, Hardcover 978-1-138-62632-4 Erscheint auch als Druck-Ausgabe, Paperback 978-1-032-14849-6 |
spellingShingle | Gwinner, Joachim 1950- Jadamba, Baasansuren 1971- Khan, Akhtar A. Raciti, Fabio Uncertainty quantification in variational inequalities theory, numerics, and applications Informationstheorie (DE-588)4026927-9 gnd Variationsungleichung (DE-588)4187420-1 gnd |
subject_GND | (DE-588)4026927-9 (DE-588)4187420-1 (DE-588)4016928-5 |
title | Uncertainty quantification in variational inequalities theory, numerics, and applications |
title_auth | Uncertainty quantification in variational inequalities theory, numerics, and applications |
title_exact_search | Uncertainty quantification in variational inequalities theory, numerics, and applications |
title_exact_search_txtP | Uncertainty quantification in variational inequalities theory, numerics, and applications |
title_full | Uncertainty quantification in variational inequalities theory, numerics, and applications Joachim Gwinner (University of the Federal Army Munich, Germany), Baasansuren Jadamba (Rochester Institute of Technology, USA), Akhtar A. Khan (Rochester Institute of Technology, USA), Fabio Raciti (University of Catania, Italy) |
title_fullStr | Uncertainty quantification in variational inequalities theory, numerics, and applications Joachim Gwinner (University of the Federal Army Munich, Germany), Baasansuren Jadamba (Rochester Institute of Technology, USA), Akhtar A. Khan (Rochester Institute of Technology, USA), Fabio Raciti (University of Catania, Italy) |
title_full_unstemmed | Uncertainty quantification in variational inequalities theory, numerics, and applications Joachim Gwinner (University of the Federal Army Munich, Germany), Baasansuren Jadamba (Rochester Institute of Technology, USA), Akhtar A. Khan (Rochester Institute of Technology, USA), Fabio Raciti (University of Catania, Italy) |
title_short | Uncertainty quantification in variational inequalities |
title_sort | uncertainty quantification in variational inequalities theory numerics and applications |
title_sub | theory, numerics, and applications |
topic | Informationstheorie (DE-588)4026927-9 gnd Variationsungleichung (DE-588)4187420-1 gnd |
topic_facet | Informationstheorie Variationsungleichung Festschrift |
work_keys_str_mv | AT gwinnerjoachim uncertaintyquantificationinvariationalinequalitiestheorynumericsandapplications AT jadambabaasansuren uncertaintyquantificationinvariationalinequalitiestheorynumericsandapplications AT khanakhtara uncertaintyquantificationinvariationalinequalitiestheorynumericsandapplications AT racitifabio uncertaintyquantificationinvariationalinequalitiestheorynumericsandapplications AT giannessifranco uncertaintyquantificationinvariationalinequalitiestheorynumericsandapplications |