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Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering

-15% su kodu: ENG15
91,15 
Įprasta kaina: 107,23 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
91,15 
Įprasta kaina: 107,23 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 107.2300 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Christian Soize
Serija: Interdisciplinary Applied Mathematics
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2018
Knygos puslapių skaičius: 352
ISBN-10: 3319853724
ISBN-13: 9783319853727
Formatas: 235 x 155 x 20 mm. Knyga minkštu viršeliu
Kalba: Anglų

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