Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	August 2021
Genre:	Schulbücher
	ComputationalMechanics / Computermodellierung und -simulation / Highdimensionalproblems / Mathematik für Ingenieure / PartialDifferentialEquations / ReducedOrdermodelling / UncertaintyQuantification
ISBN:	9783030487232
EAN-Code:	9783030487232
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 17 mm
Gewicht:	452 gr
Seiten:	296
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.