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portada Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering
Type
Physical Book
Author
Publisher
Language
English
Pages
329
Format
Paperback
Dimensions
23.4 x 15.6 x 1.9 cm
Weight
0.49 kg.
ISBN13
9783319853727
Edition No.
1
Categories

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering

Christian Soize (Author) · Springer · Paperback

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering - Soize, Christian

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Synopsis "Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering"

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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