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Uncertainty Quantification

An Accelerated Course with Advanced Applications in Computational Engineering

Christian Soize
Livre relié | Anglais | Interdisciplinary Applied Mathematics | n° 47
94,95 €
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Description

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.

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Auteur(s) :
Editeur:

Contenu

Nombre de pages :
329
Langue:
Anglais
Collection :
Tome:
n° 47

Caractéristiques

EAN:
9783319543383
Date de parution :
03-05-17
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
166 mm x 244 mm
Poids :
635 g

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