9781611973211 - uncertainty quantification: theory, implementation, and applications (computational science & engineering) de smith, ralph (12 resultados)
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Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 2014
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Librería: Goodbooks Company, Springdale, AR, Estados Unidos de AmericaGoodbooks Company
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EUR 83,29
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Condición: good. Book has corner edge dings and or scratches and signs of light wear.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 2014
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 79,76
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Condición: new.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 2014
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Librería: Book Gurus, Tallahassee, FL, Estados Unidos de AmericaBook Gurus
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EUR 90,10
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hardcover. Condición: Fine.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 2014
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Librería: Duru Media, Tallahassee, FL, Estados Unidos de AmericaDuru Media
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EUR 90,17
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hardcover. Condición: New.
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2014
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 86,56
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Condición: 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 i…n Grams: 898. . 2013. Hardcover. . . . .
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics, 2014
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 104,22
Envío por EUR 7,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New. pp. 383.
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Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics,U.S., US, 2013
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 115,01
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Hardback. Condición: 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 Quanti…fication: 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.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 101,07
Envío por EUR 14,60Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: Brand New. 382 pages. 10.00x7.25x1.00 inches. In Stock.
Idioma: Inglés
Editorial: MP-SIA SIAM - Society for Industrial and Applied M, 2013
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 108,74
Envío por EUR 6,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2014
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 106,53
Envío por EUR 9,11Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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 i…n Grams: 898. . 2013. Hardcover. . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics, 2014
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 124,50
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New. pp. 383.
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Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics,U.S., US, 2013
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 97,54
Envío por EUR 75,93Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardback. Condición: 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 Quanti…fication: 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.
