Quantification of Uncertainty: Improving Efficiency and Technology

Language: English

Published by Springer, Palgrave Macmillan Aug 2021, 2021

3030487237 / 9783030487232

Series: Book 106 of 111 - Lecture Notes in Computational Science and Engineering

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This item is printed on demand - Print on Demand Titel. Neuware -This book explores four guiding themes ¿ reduced order modelling, high dimensional problems, efficient algorithms, and applications ¿ by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the book¿s content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch.

Seller Inventory # 9783030487232

Title
Quantification of Uncertainty: Improving Efficiency and Technology
Author
Marta D'Elia
Publisher
Springer, Palgrave Macmillan Aug 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030487237
ISBN 13
9783030487232
Item weight
452 grams
Dimensions
235x155x17 mm
Series
Book 106 of 111: Lecture Notes in Computational Science and Engineering

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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