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Uncertainty Quantification - An Accelerated Course with Advanced Applications in Computational Engineering (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R2,994
Discovery Miles 29 940
Uncertainty Quantification - An Accelerated Course with Advanced Applications in Computational Engineering (Paperback,...

Uncertainty Quantification - An Accelerated Course with Advanced Applications in Computational Engineering (Paperback, Softcover reprint of the original 1st ed. 2017)

Christian Soize

Series: Interdisciplinary Applied Mathematics, 47

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Loot Price R2,994 Discovery Miles 29 940 | Repayment Terms: R281 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Interdisciplinary Applied Mathematics, 47
Release date: July 2018
First published: 2017
Authors: Christian Soize
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Paperback
Pages: 329
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-3-319-85372-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-319-85372-4
Barcode: 9783319853727

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