"This updated edition provides a framework for assessing the reliability and uncertainty of modeling and simulation results used in industry and government. With extra worked examples and homework problems for graduate students, and new material on topics including model accuracy assessment and management responsibilities for modeling activities"--
"This updated edition provides a framework for assessing the reliability and uncertainty of modeling and simulation results used in industry and government. With extra worked examples and homework problems for graduate students, and new material on topics including model accuracy assessment and management responsibilities for modeling activities"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
William L. Oberkampf has more than fifty years of experience in research and development in fluid dynamics, heat transfer, and solid mechanics. Over the past twnety-five years he has focused on research and teaching of verification, validation, and uncertainty quantification in modeling and simulation. He is a Fellow of AIAA and a Fellow of NAFEMS.
Inhaltsangabe
1. Introduction Part I. Fundamental Concepts: 2. Fundamental concepts and terminology 3. Modeling and computational simulation Part II. Code Verification and Software Engineering: 4. Software engineering for scientific computing 5. Code order-of-accuracy verification 6. Exact and manufactured solutions Part III. Solution Verification: 7. Numerical uncertainty estimation 8. Iterative error 9. Discretization error Part IV. Model Validation and Predictive Capability: 10. Model validation fundamentals 11. Design and execution of model 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. Verification, validation, and uncertainty quantification responsibilities and management Index.
1. Introduction Part I. Fundamental Concepts: 2. Fundamental concepts and terminology 3. Modeling and computational simulation Part II. Code Verification and Software Engineering: 4. Software engineering for scientific computing 5. Code order-of-accuracy verification 6. Exact and manufactured solutions Part III. Solution Verification: 7. Numerical uncertainty estimation 8. Iterative error 9. Discretization error Part IV. Model Validation and Predictive Capability: 10. Model validation fundamentals 11. Design and execution of model 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. Verification, validation, and uncertainty quantification responsibilities and management Index.
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