Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering
1st ed. 2017
Book Details
Format
Hardback or Cased Book
Book Series
Interdisciplinary Applied Mathematics
ISBN-10
3319543385
ISBN-13
9783319543383
Edition
1st ed. 2017
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
May 3rd, 2017
Print length
329 Pages
Weight
696 grams
Dimensions
16.40 x 25.80 x 2.40 cms
Product Classification:
Numerical analysisProbability & statisticsStochasticsMaths for engineers
Ksh 14,400.00
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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.
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 and professionals alike.
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