Uncertainty Quantification in Variational Inequalities : Theory, Numerics, and Applications Hardback
by Joachim Gwinner, Baasansuren (Rochester Institute of Technology, New York, USA) Jadamba, Akhtar A. Khan, Fabio Raciti
Hardback
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Description
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. Features First book on UQ 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
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:404 pages, 19 Tables, black and white; 7 Line drawings, black and white; 7 Illustrations, black and
- Publisher:Taylor & Francis Ltd
- Publication Date:21/12/2021
- Category:
- ISBN:9781138626324
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Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:404 pages, 19 Tables, black and white; 7 Line drawings, black and white; 7 Illustrations, black and
- Publisher:Taylor & Francis Ltd
- Publication Date:21/12/2021
- Category:
- ISBN:9781138626324