Uncertainty Quantification | An Accelerated Course with Advanced Applications in Computational Engineering
Christian Soize
ISBN 10: 3319853724 ISBN 13: 9783319853727
Published by Springer, 2018
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Uncertainty Quantification | An Accelerated Course with Advanced Applications in Computational Engineering | Christian Soize | Taschenbuch | Interdisciplinary Applied Mathematics | xxii | Englisch | 2018 | Springer | EAN 9783319853727 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 114227842
Synopsis:
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.
About the Author: Christian Soize is professor at Universite Paris-Est Marne-la-Valee. His research interests include stochastic modeling of uncertainties in computational mechanics, their propagation and their quantification.
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Bibliographic Details
Title: Uncertainty Quantification | An Accelerated ...
Publisher: Springer
Publication Date: 2018
Binding: Taschenbuch
Condition: Neu