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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.
Produkteigenschaften
- Artikelnummer: 9783319543383
- Medium: Buch
- ISBN: 978-3-319-54338-3
- Verlag: Springer
- Erscheinungstermin: 11.05.2017
- Sprache(n): Englisch
- Auflage: 1. Auflage 2017
- Serie: Interdisciplinary Applied Mathematics
- Produktform: Gebunden
- Gewicht: 6506 g
- Seiten: 329
- Format (B x H x T): 160 x 241 x 25 mm
- Ausgabetyp: Kein, Unbekannt