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.
Can you trust results from modelling and simulation? Verification, validation, and uncertainty quantification can help.
William L. Oberkampf has 39 years of experience in research and development in fluid dynamics, heat transfer, flight dynamics, and solid mechanics. He has worked in both computational and experimental areas, and taught 30 short courses in the field of verification and validation. He recently retired as a Distinguished Member of the Technical Staff at Sandia National Laboratories. Christopher J. Roy is Associate Professor in the Department of Aerospace and Ocean Engineering at Virginia Tech University.
'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
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