Uncertainty Quantification: Theory, Implementation, and Applications (Computational Science & Engineering) - Hardcover
Synopsis
A guide to the quantification of uncertainty in simulation models, aimed at students and researchers in mathematics, science and engineering.
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About the Author
Ralph Smith is a Professor of Mathematics and Associate Director of the Center for Research in Scientific Computation at North Carolina State University.
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Uncertainty Quantification: Theory, Implementation, and Applications
Published by
Society for Industrial & Applied Mathematics,U.S., 2014
ISBN 10: 161197321X
ISBN 13: 9781611973211
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Condition: New. A guide to the quantification of uncertainty in simulation models, aimed at students and researchers in mathematics, science and engineering. Num Pages: 400 pages, Illustrations (black and white). BIC Classification: PBT; PBWH; PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 262 x 182 x 23. Weight in Grams: 898. . 2013. Hardcover. . . . . Seller Inventory # V9781611973211
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Uncertainty Quantification - Theory, Implementation, and Applications
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MP-SIA SIAM - Society for Industrial and Applied M, 2013
ISBN 10: 161197321X
ISBN 13: 9781611973211
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Uncertainty Quantification Theory, Implementation, and Applications
Published by
Society for Industrial & Applied, 2014
ISBN 10: 161197321X
ISBN 13: 9781611973211
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Uncertainty Quantification
Published by
Society for Industrial and Applied Mathematics,U.S., US, 2013
ISBN 10: 161197321X
ISBN 13: 9781611973211
New
Hardcover
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Hardback. Condition: New. The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines.The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.Uncertainty Quantification: Theory, Implementation, and Applications includes a large number of definitions and examples that use a suite of relatively simple models to illustrate concepts; numerous references to current and open research issues; and exercises that illustrate basic concepts and guide readers through the numerical implementation of algorithms for prototypical problems. It also features a wide range of applications, including weather and climate models, subsurface hydrology and geology models, nuclear power plant design, and models for biological phenomena, along with recent advances and topics that have appeared in the research literature within the last 15 years, including aspects of Bayesian model calibration, surrogate model development, parameter selection techniques, and global sensitivity analysis.Audience: The text is intended for advanced undergraduates, graduate students, and researchers in mathematics, statistics, operations research, computer science, biology, science, and engineering. It can be used as a textbook for one- or two-semester courses on uncertainty quantification or as a resource for researchers in a wide array of disciplines. A basic knowledge of probability, linear algebra, ordinary and partial differential equations, and introductory numerical analysis techniques is assumed. Seller Inventory # LU-9781611973211
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Uncertainty Quantification: Theory, Implementation, and Applications
Published by
Society for Industrial & Applied Mathematics,U.S., 2014
ISBN 10: 161197321X
ISBN 13: 9781611973211
New
Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. A guide to the quantification of uncertainty in simulation models, aimed at students and researchers in mathematics, science and engineering. Num Pages: 400 pages, Illustrations (black and white). BIC Classification: PBT; PBWH; PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 262 x 182 x 23. Weight in Grams: 898. . 2013. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781611973211
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Uncertainty Quantification: Theory, Implementation, and Applications
Published by
Society for Industrial & Applied Mathematics,U.S., 2014
ISBN 10: 161197321X
ISBN 13: 9781611973211
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Hardcover
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Uncertainty Quantification
Published by
Society for Industrial and Applied Mathematics,U.S., US, 2013
ISBN 10: 161197321X
ISBN 13: 9781611973211
New
Hardcover
Seller: Rarewaves.com UK, London, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines.The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.Uncertainty Quantification: Theory, Implementation, and Applications includes a large number of definitions and examples that use a suite of relatively simple models to illustrate concepts; numerous references to current and open research issues; and exercises that illustrate basic concepts and guide readers through the numerical implementation of algorithms for prototypical problems. It also features a wide range of applications, including weather and climate models, subsurface hydrology and geology models, nuclear power plant design, and models for biological phenomena, along with recent advances and topics that have appeared in the research literature within the last 15 years, including aspects of Bayesian model calibration, surrogate model development, parameter selection techniques, and global sensitivity analysis.Audience: The text is intended for advanced undergraduates, graduate students, and researchers in mathematics, statistics, operations research, computer science, biology, science, and engineering. It can be used as a textbook for one- or two-semester courses on uncertainty quantification or as a resource for researchers in a wide array of disciplines. A basic knowledge of probability, linear algebra, ordinary and partial differential equations, and introductory numerical analysis techniques is assumed. Seller Inventory # LU-9781611973211
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