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Viac informácií o knihe Uncertainty Quantification in Variational Inequalities

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 166 bodov

Anotácia knihy

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

Parametre knihy

Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Allgemeines

• Celý názov: Uncertainty Quantification in Variational Inequalities
• Autor: Baasansuren Jadamba, Fabio Raciti, Joachim Gwinner
• Jazyk: Nemčina
• Väzba: Brožovaná
• Počet strán: 404
• EAN: 9781032148496
• ISBN: 1032148497
• ID: 45694648
• Nakladateľ: Taylor & Francis Ltd
• Hmotnosť: 606 g
• Rozmery: 234 × 156 mm
• Dátum vydania: 27. May 2024

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