02698nam a2200241 a 4500001001400000003000700014005001700021008004100038020002900079040000800108100002600116245010000142260005000242300004600292504005000338505083200388520106701220650002902287650004102316650003402357650004102391700002402432vtls000056445KUKTEM20251125093030.0111130t2010    nyua   f b    001 0 eng d  a9780521113601 (hardback)  aUMP1 aOberkampf, William L.10aVerification and validation in scientific computing /cWilliam L. Oberkampf, Christopher J. Roy  aNew York :bCambridge University Press,c2010  axiv, 767 p. :bill. (some col.) ;c26 cm.  aIncludes bibliographical references and index8 aMachine generated contents note: Preface; 1. Introduction; Part I. Fundamental Concepts: 2. Fundamental concepts and terminology; 3. Modeling and computational simulation; Part II. Code Verification: 4. Software engineering; 5. Code verification; 6. Exact solutions; Part III. Solution Verification: 7. Solution verification; 8. Discretization error; 9. Solution adaptation; Part IV. Model Validation and Prediction: 10. Model validation fundamentals; 11. Design and execution of validation experiments; 12. Model accuracy assessment; 13. Predictive capability; Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation; 15. Maturity assessment of modeling and simulation; 16. Development and responsibilities for verification, validation and uncertainty quantification  a"Advances 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"-- Provided by publisher 0aSciencexData processing 0aNumerical calculationsxVerification 0aComputer programsxValidation 0aDecision makingxMathematical models1 aRoy, Christopher J.