Quantification of Uncertainty: Improving Efficiency and Technology

QUIET selected contributions

, ,



0%

 COMMENCER GRATUITEMENT

94,94 l'ebook
acheter l'ebook


Détails du livre

Titre : Quantification of Uncertainty: Improving Efficiency and Technology
Pages : 282
Collection : Lecture Notes in Computational Science and Engineering
Parution : 2020-07-30
Éditeur : Springer
EAN papier : 9783030487201
À propos du livre



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.

Format EPUB - Nb pages copiables : 2 - Nb pages imprimables : 28 - Poids : 39752 Ko - - Prix : 94,94 € - EAN : 9783030487218

Pick and Read

Une solution de paiement à la page lue.

Une lecture en streaming, pour « lire en maîtrisant son budget ».




Paiement sécurisé


  • Newsletter

  • OK