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

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Uncertainty Quantification in Variational Inequalities cover

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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ISBN: 9781032148496

Dimensions: unknown

Weight: 453g

404 pages