William L. Oberkampf, Christopher J. RoyCambridge University PressEdition: Illustrated, 10/14/2010EAN 9780521113601, ISBN10: 0521113601Hardcover, 790 pages, 24.6 x 17.5 x 4.6 cmLanguage: EnglishAdvances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.Preface1. IntroductionPart I. Fundamental Concepts2. Fundamental concepts and terminology3. Modeling and computational simulationPart II. Code Verification4. Software engineering5. Code verification6. Exact solutionsPart III. Solution Verification7. Solution verification8. Discretization error9. Solution adaptationPart IV. Model Validation and Prediction10. Model validation fundamentals11. Design and execution of validation experiments12. Model accuracy assessment13. Predictive capabilityPart V. Planning, Management, and Implementation Issues14. Planning and prioritization in modeling and simulation15. Maturity assessment of modeling and simulation16. Development and responsibilities for verification, validation and uncertainty quantificationAppendix. Programming practicesIndex.
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