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Published by Cambridge University Press, 2014
ISBN 10: 1107071712 ISBN 13: 9781107071711
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Published by Cambridge University Press, 2014
ISBN 10: 1107071712 ISBN 13: 9781107071711
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Published by Cambridge University Press 2014-08-11, 2014
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Language: English
Published by Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 3319853724 ISBN 13: 9783319853727
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Taschenbuch. Condition: 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.
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Gebunden. Condition: New. This book presents an advanced computational method for the prediction of sound and structural vibrations, complex structural acoustics and fluid-structure interaction systems encountered in aerospace, automotive, railway, naval, and energy-production indus.
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Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319853724 ISBN 13: 9783319853727
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Taschenbuch. 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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Published by Springer-Verlag Gmbh Mai 2017, 2017
ISBN 10: 3319543385 ISBN 13: 9783319543383
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Buch. Condition: 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 329 pp. Englisch.
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Published by Springer-Verlag Gmbh, 2017
ISBN 10: 3319543385 ISBN 13: 9783319543383
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Buch. 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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Published by Cambridge University Press, 2014
ISBN 10: 1107071712 ISBN 13: 9781107071711
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Language: English
Published by Springer International Publishing Jul 2018, 2018
ISBN 10: 3319853724 ISBN 13: 9783319853727
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Springer International Publishing, 2018
ISBN 10: 3319853724 ISBN 13: 9783319853727
Seller: moluna, Greven, Germany
Condition: 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.
Language: English
Published by Springer-Verlag Gmbh Mai 2017, 2017
ISBN 10: 3319543385 ISBN 13: 9783319543383
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: 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. 329 pp. Englisch.
Language: English
Published by Springer International Publishing, 2017
ISBN 10: 3319543385 ISBN 13: 9783319543383
Seller: moluna, Greven, Germany
Gebunden. Condition: 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.