Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions - Lecture Notes in Computational Science and Engineering - - Books - Springer Nature Switzerland AG - 9783030487201 - July 31, 2020
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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions - Lecture Notes in Computational Science and Engineering 2020 edition

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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.

282 pages, 90 Illustrations, color; 23 Illustrations, black and white; XI, 282 p. 113 illus., 90 ill

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 31, 2020
ISBN13 9783030487201
Publishers Springer Nature Switzerland AG
Pages 282
Dimensions 150 × 220 × 20 mm   ·   589 g
Language German  
Editor D'Elia, Marta
Editor Gunzburger, Max
Editor Rozza, Gianluigi

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