Uncertainty Quantification in Variational Inequalities

Uncertainty Quantification in Variational Inequalities

  • Joachim Gwinner
  • Baasansuren Jadamba
  • Akhtar A. Khan
  • Fabio Raciti
Publisher:CRC PressISBN 13: 9781351857666ISBN 10: 1351857665

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Uncertainty Quantification in Variational Inequalities is written by Joachim Gwinner and published by CRC Press. It's available with International Standard Book Number or ISBN identification 1351857665 (ISBN 10) and 9781351857666 (ISBN 13).

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