Uncertainty Quantification in Variational Inequalities
Theory, Numerics, and Applications
Joachim Gwinner author Baasansuren Jadamba author Akhtar A Khan author Fabio Raciti author
Format:Paperback
Publisher:Taylor & Francis Ltd
Published:27th May '24
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£105.00(9781138626324)
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 <
ISBN: 9781032148496
Dimensions: unknown
Weight: 453g
404 pages