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Anotace knihy

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.

Parametry knihy

• Plný název: Quantification of Uncertainty: Improving Efficiency and Technology
• Autor: Gianluigi Rozza, Max Gunzburger
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 282
• EAN: 9783030487232
• ISBN: 3030487237
• ID: 36916723
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 456 g
• Rozměry: 235 × 155 × 17 mm
• Datum vydání: 01. August 2021

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