02935nam a2200289 a 4500 vtls000056445 KUKTEM 20251125093030.0 111130t2010 nyua f b 001 0 eng d 9780521113601 (hardback) 201206181455 fauzi 201111301600 irma UMP Q183.9 .O24 2010 Oberkampf, William L. Verification and validation in scientific computing / William L. Oberkampf, Christopher J. Roy New York : Cambridge University Press, 2010 xiv, 767 p. : ill. (some col.) ; 26 cm. Includes bibliographical references and index Machine 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 "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 Science Data processing Numerical calculations Verification Computer programs Validation Decision making Mathematical models Roy, Christopher J. 0 0 0 0 10000 10000 2019-09-04 471.81 0 Q183.9 .O24 2010 0000065320 2019-09-04 00:00:00 1 471.81 2019-09-04 OPEN VIRTUA40 60702 60708 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5040*5050*5200*6500*6501*6502*6503*7000*9991