Quantification of uncertainty: improving efficiency and technology: quiet selected contributions
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030487232
Date de publication :
1 août 2021
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.