Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics) - Tapa blanda

Libro 43 de 52: Interdisciplinary Applied Mathematics

Soize, Christian

 
9783319853727: Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics)
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ISBN 10: 3319853724 ISBN 13: 9783319853727
Editorial: Springer, 2018

Sinopsis

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.

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Acerca del autor

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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319853724
ISBN 13 
9783319853727
Encuadernación
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Número de páginas
352
Contacto del fabricante
no disponible
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Otras ediciones populares con el mismo título

9783319543383: Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics)

Edición Destacada

ISBN 10:  3319543385 ISBN 13:  9783319543383
Editorial: Springer, 2017
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