Uncertainty Quantification in Variational Inequalities is popular PDF and ePub book, written by Joachim Gwinner in 2021-12-24, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Uncertainty Quantification in Variational Inequalities can be Read Online from any device for your convenience.
Uncertainty Quantification in Variational Inequalities Book PDF Summary
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
Detail Book of Uncertainty Quantification in Variational Inequalities PDF
- Author : Joachim Gwinner
- Release : 24 December 2021
- Publisher : CRC Press
- ISBN : 9781351857673
- Genre : Mathematics
- Total Page : 405 pages
- Language : English
- PDF File Size : 13,6 Mb
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