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Uncertainty Quantification Accelerated Course by Soize Christian (15 results)
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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
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Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319853724 ISBN 13: 9783319853727
Language: English
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Add to basketTaschenbuch. Condition: 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.
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Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering
Published by Springer-Verlag Gmbh, 2017
ISBN 10: 3319543385 ISBN 13: 9783319543383
Language: English
US$ 115.62
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Add to basketBuch. Condition: 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.
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Uncertainty Quantification | An Accelerated Course with Advanced Applications in Computational Engineering
Published by Springer-Verlag GmbH, 2017
ISBN 10: 3319543385 ISBN 13: 9783319543383
Language: English
US$ 101.28
Convert currencyUS$ 81.61 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketBuch. Condition: Neu. Uncertainty Quantification | An Accelerated Course with Advanced Applications in Computational Engineering | Christian Soize | Buch | Interdisciplinary Applied Mathematics | xxii | Englisch | 2017 | Springer-Verlag GmbH | EAN 9783319543383 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
