Uncertainty Quantification

Autor: Christian Soize

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

Christian Soize

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2017

Stránek

329

EAN

9783319543383

ISBN

3319543385

Enbook ID

15802767

Vydavatel

Springer International Publishing AG

Hmotnost

696

Rozměry

258 x 164 x 24

Kompletní popis

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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Uncertainty Quantification

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