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 ...
Read More
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.
Read Less
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $75.01, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2014 by Society for Industrial and Appli.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Publisher:
Society for Industrial & Applied Mathematics,U.S.
Published:
2014
Language:
English
Alibris ID:
18417713532
Shipping Options:
Standard Shipping: $4.99
Trackable Expedited: $9.99
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $179.95, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2014 by Society for Industrial and App.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $205.00, good condition, Sold by Book Words rated 4.0 out of 5 stars, ships from Midland Park, NJ, UNITED STATES, published 2013 by SIAM-Society for Industrial and Applied Mathematics.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $205.85, good condition, Sold by TEXTSHUB rated 5.0 out of 5 stars, ships from Franklin Lakes, NJ, UNITED STATES, published 2013 by SIAM-Society for Industrial and Applied Mathematics.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $214.05, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2014 by Society for Industrial and App.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $228.06, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2014 by Society for Industrial and App.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $344.94, very good condition, Sold by BetterBookDeals rated 3.0 out of 5 stars, ships from NIAGARA FALLS, NY, UNITED STATES, published 2014 by Society for Industrial and Applied Mathematics.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
Add this copy of Uncertainty Quantification: Theory, Implementation, and to cart. $347.94, new condition, Sold by BetterBookDeals rated 3.0 out of 5 stars, ships from NIAGARA FALLS, NY, UNITED STATES, published 2014 by Society for Industrial and Applied Mathematics.
Edition:
2013, Society for Industrial & Applied Mathematics,U.S.
