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Fundamentals Uncertainty Quantification Engineers by Wang (15 results)
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Fundamentals of Uncertainty Quantification for Engineers : Methods and Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 186.65
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Fundamentals of Uncertainty Quantification for Engineers: Methods and Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 200.57
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Condition: As New. Unread book in perfect condition.
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Fundamentals of Uncertainty Quantification for Engineers : Methods and Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 222.61
£ 15 shipping
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Condition: New. Introduces all major topics of uncertainty quantification with engineering examples and implementation detailsFeatures examples from a wide variety of science and engineering disciplines (e.g., fluids, structural dynamics, materials, manufa.
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Fundamentals of Uncertainty Quantification for Engineers : Methods and Models
Language: English
Published by Elsevier - Health Sciences Division Jun 2025, 2025
ISBN 10: 0443136610 ISBN 13: 9780443136610
Taschenbuch. Condition: Neu. Neuware - Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples and implementation details to reinforce the concepts outlined in the book. Sections start with an introduction to the history of probability theory and an overview of recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of copula, Monte Carlo sampling, Markov chain Monte Carlo, polynomial regression, Gaussian process regression, polynomial chaos expansion, stochastic collocation, Bayesian inference, modelform uncertainty, multi-fidelity modeling, model validation, local and global sensitivity analyses, linear and nonlinear dimensionality reduction are included. Advanced UQ methods are also introduced, including stochastic processes, stochastic differential equations, random fields, fractional stochastic differential equations, hidden Markov model, linear Gaussian state space model, as well as non-probabilistic methods such as robust Bayesian analysis, Dempster-Shafer theory, imprecise probability, and interval probability. The book also includes example applications in multiscale modeling, reliability, fatigue, materials design, machine learning, and decision making.
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Fundamentals of Uncertainty Quantification for Engineers: Methods and Models
Language: English
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443136610 ISBN 13: 9780443136610
Condition: new. Questo è un articolo print on demand.
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Fundamentals of Uncertainty Quantification for Engineers (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443136610 ISBN 13: 9780443136610
Paperback. Condition: new. Paperback. Fundamentals of Uncertainty Quantification for Engineers: Methods and Models This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Fundamentals of Uncertainty Quantification for Engineers: Methods and Models
Language: English
Published by Elsevier Science Ltd, 2025
ISBN 10: 0443136610 ISBN 13: 9780443136610
Paperback. Condition: Brand New. 600 pages. 9.00x5.94x8.96 inches. In Stock. This item is printed on demand.
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Fundamentals of Uncertainty Quantification for Engineers (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443136610 ISBN 13: 9780443136610
Paperback. Condition: new. Paperback. Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples and implementation details to reinforce the concepts outlined in the book. Sections start with an introduction to the history of probability theory and an overview of recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of copula, Monte Carlo sampling, Markov chain Monte Carlo, polynomial regression, Gaussian process regression, polynomial chaos expansion, stochastic collocation, Bayesian inference, modelform uncertainty, multi-fidelity modeling, model validation, local and global sensitivity analyses, linear and nonlinear dimensionality reduction are included. Advanced UQ methods are also introduced, including stochastic processes, stochastic differential equations, random fields, fractional stochastic differential equations, hidden Markov model, linear Gaussian state space model, as well as non-probabilistic methods such as robust Bayesian analysis, Dempster-Shafer theory, imprecise probability, and interval probability. The book also includes example applications in multiscale modeling, reliability, fatigue, materials design, machine learning, and decision making. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Fundamentals of Uncertainty Quantification for Engineers (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443136610 ISBN 13: 9780443136610
Paperback. Condition: new. Paperback. Fundamentals of Uncertainty Quantification for Engineers: Methods and Models This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
