000			02935nam a2200289 a 4500
001			vtls000056445
003			KUKTEM
005			20251125093030.0
008			111130t2010 nyua f b 001 0 eng d
020			_a9780521113601 (hardback)
039		9	_a201206181455 _bfauzi _y201111301600 _zirma
040			_aUMP
090			_aQ183.9 .O24 2010
100	1		_aOberkampf, William L.
245	1	0	_aVerification and validation in scientific computing / _cWilliam L. Oberkampf, Christopher J. Roy
260			_aNew York : _bCambridge University Press, _c2010
300			_axiv, 767 p. : _bill. (some col.) ; _c26 cm.
504			_aIncludes bibliographical references and index
505	8		_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
520			_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
650		0	_aScience _xData processing
650		0	_aNumerical calculations _xVerification
650		0	_aComputer programs _xValidation
650		0	_aDecision making _xMathematical models
700	1		_aRoy, Christopher J.
999			_aVIRTUA40 _c60702 _d60708
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5040*5050*5200*6500*6501*6502*6503*7000*9991