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Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering
Christian Soize
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Description for Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering
Hardback. .
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2017
Series
Interdisciplinary Applied Mathematics
Condition
New
Number of Pages
329
Place of Publication
Cham, Switzerland
ISBN
9783319543383
SKU
V9783319543383
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Christian Soize
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.
Reviews for Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering
The book under review serves as an excellent reference for the uncertainty analysis community. ... the author has included an extensive bibliography in the end of the book that will be very useful to the interested reader. ... the book is an excellent reference for advanced users and practitioners of UQ and is strongly recommended. (Tujin Sahai, Mathematical Reviews, ... Read more