Uncertainty Quantification in Variational Inequalities

Released on by Joachim Gwinner
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  • Uncertainty Quantification in Variational Inequalities Book Detail

  • Author : Joachim Gwinner
  • Release Date : 2021-12-24
  • Publisher : CRC Press
  • Genre : Mathematics
  • Pages : 405
  • ISBN 13 : 1351857673
  • File Size : 31,31 MB
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Uncertainty Quantification in Variational Inequalities by Joachim Gwinner PDF Summary

Book Description: 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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Uncertainty Quantification

Uncertainty Quantification

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The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale appli