Uncertainty Quantification An Accelerated Course with Advanced Applications in Computational Engineering /

• Κύριος συγγραφέας: Soize, Christian (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Interdisciplinary Applied Mathematics, 47
• Θέματα: Mathematics.; Computer mathematics.; Probabilities.; Applied mathematics.; Engineering mathematics.; Computational Science and Engineering.; Appl.Mathematics/Computational Methods of Engineering.; Probability Theory and Stochastic Processes.

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties wi...