Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € DHL 6.99 € GLS 7.99 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Uncertainty Quantification

Christian Soize

Lingua

Inglese

Libro Rigido

Codice Libristo: 15802767

Casa editrice Springer International Publishing AG, maggio 2017

This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin... Descrizione completa

Codice Libristo: 15802767

232 b

94.69 €

Magazzino esterno Inviamo tra 10-13 giorni

30 giorni per il reso

I clienti hanno acquistato anche

LOS PASADOS DE LA REVOLUCION STRAEHLE

In brossura

25.29 €

Le guide de l'animation Kamimura

In brossura

14.59 €

Zákon o reklame Jozef Vozár

Rigido

22.79 €

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

In brossura

34.29 €

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

In brossura

50.29 €

slam Mimarl g 'n n Sorunlar Mehmet Cercis Erismis

In brossura

60.59 €

Berlin Alexanderplatz (Puzzle) Reiner Silberstein

Gioco

35.79 €

Die Broken-Windows-Theorie David R. Hielscher

In brossura

21.79 €

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.