Da: ALLBOOKS1, Direk, SA, Australia
EUR 73,41
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 72,62
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 65,79
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Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319853724 ISBN 13: 9783319853727
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,54
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: Best Price, Torrance, CA, U.S.A.
EUR 61,13
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 70,81
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Da: Chiron Media, Wallingford, Regno Unito
EUR 69,07
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 76,32
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 79,22
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 96,29
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Aggiungi al carrelloBuch. Condizione: 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.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 65,69
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Da: Majestic Books, Hounslow, Regno Unito
EUR 121,28
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Da: Books Puddle, New York, NY, U.S.A.
EUR 130,99
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 132,59
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 138,78
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 150,64
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Aggiungi al carrelloHardcover. Condizione: New. New. book.