Verification and Validation in Scientific Computing
Autor William L. Oberkampf, Christopher J. Royen Limba Engleză Hardback – 13 oct 2010
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Specificații
ISBN-13: 9780521113601
ISBN-10: 0521113601
Pagini: 790
Ilustrații: 220 b/w illus. 14 colour illus. 55 tables
Dimensiuni: 179 x 254 x 40 mm
Greutate: 1.45 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 0521113601
Pagini: 790
Ilustrații: 220 b/w illus. 14 colour illus. 55 tables
Dimensiuni: 179 x 254 x 40 mm
Greutate: 1.45 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
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; Appendix. Programming practices; Index.
Recenzii
'This ambitious and well-written book is an excellent comprehensive review of what you need to know to evaluate or build a complex model or simulation of a physical process … would be a good textbook for a senior-level engineering or physics undergraduate semester course, particularly a project-based one that develops requirements for a simple prototype numerical model of a system.' Joan Horvath, Computing Reviews
'This book provides a comprehensive and systematic development of basic concepts and procedures for verification and validation of models and simulations.' Zentralblatt MATH
'This book provides a comprehensive and systematic development of basic concepts and procedures for verification and validation of models and simulations.' Zentralblatt MATH
Notă biografică
Descriere
Can you trust results from modelling and simulation? Verification, validation, and uncertainty quantification can help.