Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Uncertainty Quantification

Christian Soize

Language

English

Book Hardback

Libristo code: 15802767

Publishers Springer International Publishing AG, May 2017

This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin... Full description

Libristo code: 15802767

239 b

35 148 Ft

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

LOS PASADOS DE LA REVOLUCION STRAEHLE

Paperback

9 103 Ft

Le guide de l'animation Kamimura

Paperback

5 013 Ft

Zákon o reklame Jozef Vozár

Hardback

7 735 Ft

Manuel A l'Usage Des Troupes Employees Outre-Mer. Partie 2. Fascicule 3 CHARLES-LAVAUZELLE

Paperback

12 674 Ft

Erarbeitung Physikalischer Grï¿½ï¿½en Und Gesetze Im Physikunterricht Der Sekundarstufe I Unter Einsatz Von Schï¿½lerexperimenten Manfred Bormann

Paperback

18 661 Ft

Die metaphysische Grundlage der Kontroverse um den Kraftbegriff zwischen Descartes und Leibniz Chun-Fa Liu

Paperback

29 161 Ft

slam Mimarl g 'n n Sorunlar Mehmet Cercis Erismis

Paperback

22 515 Ft

Berlin Alexanderplatz (Puzzle) Reiner Silberstein

Game

12 220 Ft

Die Broken-Windows-Theorie David R. Hielscher

Paperback

7 485 Ft

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.