000			03254nam a22003858i 4500
001			CR9780511760396
003			UkCbUP
005			20200124160306.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s2010||||enk o ||1 0|eng|d
020			_a9780511760396 (ebook)
020			_z9780521113601 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQ183.9 _b.O24 2010
082	0	0	_a502.85 _222
100	1		_aOberkampf, William L., _d1944- _eauthor.
245	1	0	_aVerification and validation in scientific computing / _cWilliam L. Oberkampf, Christopher J. Roy.
246	3		_aVerification & Validation in Scientific Computing
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xiv, 767 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
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			_aAdvances 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.
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., _eauthor.
776	0	8	_iPrint version: _z9780521113601
856	4	0	_uhttps://doi.org/10.1017/CBO9780511760396
999			_c520709 _d520707