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Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Uncertainty Quantification
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Uncertainty Quantification
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ISBN 10 : 3319853724
ISBN 13 : 9783319853727
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An Accelerated Course with Applications in Computational Sciences and Engineering|Presents fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantificationIncludes several topics not cu. N° de réf. du vendeur 448759113
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Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering (Interdisciplinary Applied Mathematics, 47)
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Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering
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Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering
ISBN 10 : 3319853724
ISBN 13 : 9783319853727
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319853727
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Uncertainty Quantification
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Springer International Publishing Jul 2018, 2018
ISBN 10 : 3319853724
ISBN 13 : 9783319853727
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 352 pp. Englisch. N° de réf. du vendeur 9783319853727
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Uncertainty Quantification : An Accelerated Course With Advanced Applications in Computational Engineering
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Uncertainty Quantification
ISBN 10 : 3319853724
ISBN 13 : 9783319853727
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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch. N° de réf. du vendeur 9783319853727
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Uncertainty Quantification : An Accelerated Course With Advanced Applications in Computational Engineering
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Uncertainty Quantification : An Accelerated Course With Advanced Applications in Computational Engineering
Edité par
Springer, 2018
ISBN 10 : 3319853724
ISBN 13 : 9783319853727
Ancien ou d'occasion
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