Uncertainty quantification in variational inequalities

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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

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Taal: en

Bindwijze: E-book

Oorspronkelijke releasedatum: 24 december 2021

Ebook Formaat: Adobe ePub

Illustraties: Nee

Hoofdauteur: Joachim Gwinner

Tweede Auteur: Baasansuren Jadamba

Co Auteur: Joachim Gwinner

Hoofduitgeverij: Chapman and Hall/CRC

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

Editie: 1

Studieboek: Nee

EAN: 9781351857666

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