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Chapman and Hall/CRC Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications

Name: Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications
Brand: Chapman and Hall/CRC
Price: 48.44 GBP
Availability: InStock

Computer Science

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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

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032148497
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 27 May 2024
Listed Since: 29 March 2024

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Chapman and Hall/CRC Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications

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Chapman and Hall/CRC Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications

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