Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions - Lecture Notes in Computational Science and Engineering - - Knjige - Springer Nature Switzerland AG - 9783030487232 - 1. avgusta 2021
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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

Medij Knjige     Paperback Book   (Knjiga z mehkimi platnicami in lepljenim hrbtom)
Izdano 1. avgusta 2021
ISBN13 9783030487232
Založniki Springer Nature Switzerland AG
Strani 282
Dimenzije 150 × 220 × 10 mm   ·   417 g
Jezik Nemščina  
Urednik D'Elia, Marta
Urednik Gunzburger, Max
Urednik Rozza, Gianluigi

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