000			03135nam a22004338i 4500
001			CR9780511617973
003			UkCbUP
005			20161016095528.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090915s2006||||enk o ||1 0|eng|d
020			_a9780511617973 (ebook)
020			_z9780521858960 (hardback)
020			_z9780521675956 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
049			_aAlfaisal Main Library
050	0	0	_aQA76.76.D47 _bO45 2006
082	0	0	_a005.3 _222
100	1		_aOliveira, Suely, _eauthor.
245	1	0	_aWriting scientific software : _ba guide for good style / _cSuely Oliveira and David E. Stewart.
264		1	_aCambridge : _bCambridge University Press, _c2006.
300			_a1 online resource (xii, 303 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	0		_apt. I. Numerical software -- Why numerical software? -- Scientific computation and numerical analysis -- Priorities -- Famous disasters -- Exercises -- pt. II. Developing software -- Basics of computer organization -- Software design -- Data structures -- Design for testing and debugging -- Exercises -- pt. III. Efficiency in time, efficiency in memory -- Be algorithm aware -- Computer architecture and efficiency -- Global vs. local optimization -- Grabbing memory when you need it -- Memory bugs and leaks -- pt. IV. Tools -- Sources of scientific software -- Unix tools -- pt. V. Design examples -- Cubic spline function library -- Multigrid alogrithms.
520			_aThe core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewart's style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.
650		0	_aComputer software _xDevelopment.
650		0	_aSoftware engineering.
650		0	_aScience _xData processing.
650		0	_aScience _vSoftware.
655		7	_aElectronic books. _2local
700	1		_aStewart, David, _d1961- _eauthor.
710	2		_aCambridge eBooks.
776	0	8	_iPrint version: _z9780521858960
856	4	0	_uhttp://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1017/CBO9780511617973
942			_2lcc _cEBOOKS
999			_c314888 _d314888