000			02196nam a22003137a 4500
001			sulb-eb0015643
003			BD-SySUS
005			20160405134440.0
008			100506s2010||||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., _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 (790 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 04 Apr 2016).
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.
700	1		_aRoy, Christopher J., _eauthor.
776	0	8	_iPrint version: _z9780521113601
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511760396
942			_2Dewey Decimal Classification _ceBooks
999			_c37487 _d37487