UID:
almahu_9949385080102882
Format:
1 online resource (xviii, 386 pages) :
,
illustrations
Edition:
First edition.
ISBN:
9781315228969
,
1315228963
,
9781351857659
,
1351857657
,
9781351857673
,
1351857673
,
9781351857666
,
1351857665
Content:
"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"--
Note:
"A Chapman & Hall book" -- title page.
Additional Edition:
Print version: Gwinner, Joachim. Uncertainty quantification in variational inequalities Boca Raton : Chapman & Hall/CRC Press, 2022 ISBN 9781138626324
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781315228969
URL:
https://www.taylorfrancis.com/books/9781315228969
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