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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Hoofdkenmerken
Auteur: William L. Oberkampf; Christopher J. Roy
Titel: Verification, Validation, and Uncertainty Quantification in Scientific Computing
Uitgever: Cambridge University Press
ISBN: 9781009033664
ISBN boekversie: 9781316516133
Editie: 2
Prijs: € 153,93
Verschijningsdatum: 03-04-2025
Inhoudelijke kenmerken
Categorie: General
Taal: English
Imprint: Cambridge University Press
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

Can you trust results from modeling and simulation? This text provides a framework for assessing the reliability of and uncertainty included in the results used by decision makers and policy makers in industry and government. The emphasis is on models described by PDEs and their numerical solution. Procedures and results from all aspects of verification and validation are integrated with modern methods in uncertainty quantification and stochastic simulation. Methods for combining numerical approximation errors, uncertainty in model input parameters, and model form uncertainty are presented in order to estimate the uncertain response of a system in the presence of stochastic inputs and lack of knowledge uncertainty. This new edition has been extensively updated, including a fresh look at model accuracy assessment and the responsibilities of management for modeling and simulation activities. Extra homework problems and worked examples have been added to each chapter, suitable for course use or self-study.
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