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Uncertainty Quantification in Variational Inequalities

Uncertainty Quantification in Variational Inequalities

Theory, Numerics, and Applications

by Joachim GwinnerBaasansuren Jadamba Akhtar A. Khan and others
Hardback
Publication Date: 27/05/2024

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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
ISBN:
9781032148496
9781032148496
Category:
Mathematics
Format:
Hardback
Publication Date:
27-05-2024
Publisher:
CRC Press LLC
Country of origin:
United States

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