000 | 02062nam a22003138i 4500 | ||
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001 | CR9780511617973 | ||
003 | UkCbUP | ||
005 | 20170526205628.0 | ||
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 |
||
082 | 0 | 0 |
_a5.1 _222 |
100 | 1 |
_aOliveira, Suely, _eauthor. |
|
245 | 1 | 0 |
_aWriting Scientific Software : _bA Guide to Good Style / _cSuely Oliveira, David E. Stewart. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2006. |
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300 |
_a1 online resource (316 pages) : _bdigital, PDF file(s). |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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500 | _aTitle from publisher's bibliographic system (viewed on 28 Feb 2017). | ||
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. | ||
700 | 1 |
_aStewart, David E., _eauthor. |
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776 | 0 | 8 |
_iPrint version: _z9780521858960 |
856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511617973 |
999 |
_c123822 _d123822 |