Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize
Material type: TextPublication details: Switzerland Springer 2017Description: 329 pISBN:- 9783319853727
- 003.54 SOI-C
Item type | Current library | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 003.54 SOI-C (Browse shelf(Opens below)) | Available | DST-FIST FUND. | 42428 |
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses on 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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