Uncertainty Quantification / Interdisciplinary Applied Mathematics Bd.47 (PDF)
An Accelerated Course with Advanced Applications in Computational Engineering
(Sprache: Englisch)
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...
sofort als Download lieferbar
Printausgabe 96.29 €
eBook (pdf) -28%
69.54 €
34 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Uncertainty Quantification / Interdisciplinary Applied Mathematics Bd.47 (PDF)“
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 with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials.
Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a stochastic model of uncertainty when experimental data is available. <
This book is intended to be a graduate-level textbook for students as well as professionals interested in the theory, computation, and applications of risk and prediction in science and engineering fields.
Autoren-Porträt von Christian Soize
Christian Soize is professor at Universite Paris-Est Marne-la-Valee. His research interests include stochastic modeling of uncertainties in computational mechanics, their propagation and their quantification.
Bibliographische Angaben
- Autor: Christian Soize
- 2017, 1st ed. 2017, 329 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319543393
- ISBN-13: 9783319543390
- Erscheinungsdatum: 24.04.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 8.94 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Pressezitat
“The book under review serves as an excellent reference for the uncertainty analysis community. … the author has included an extensive bibliography in the end of the book that will be very useful to the interested reader. … the book is an excellent reference for advanced users and practitioners of UQ and is strongly recommended.” (Tujin Sahai, Mathematical Reviews, September, 2018)
Kommentar zu "Uncertainty Quantification / Interdisciplinary Applied Mathematics Bd.47"
0 Gebrauchte Artikel zu „Uncertainty Quantification / Interdisciplinary Applied Mathematics Bd.47“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Uncertainty Quantification / Interdisciplinary Applied Mathematics Bd.47".
Kommentar verfassen