| 000 | 02458cam a2200337 a 4500 | ||
|---|---|---|---|
| 999 |
_c7254 _d7254 |
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| 001 | 17061127 | ||
| 005 | 20190417120723.0 | ||
| 008 | 111129s2012 enka b 001 0 eng | ||
| 010 | _a 2011047928 | ||
| 020 | _a9781107001732 (hardback) | ||
| 020 | _a1107001730 (hardback) | ||
| 020 | _a9780521173018 (pbk.) | ||
| 020 | _a0521173019 (pbk.) | ||
| 040 |
_aDLC _cDLC _dYDX _dUKMGB _dBTCTA _dYDXCP _dBWX _dCDX _dDLC _erda |
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| 050 | 0 | 0 |
_aQA76.9.A43 _bM385 2012 |
| 082 | 0 | 4 |
_a005.1 _223 _bM.C.G |
| 100 | 1 |
_aMcGeoch, Catherine C., _d1959- |
|
| 245 | 1 | 2 |
_aA guide to experimental algorithmics / _cCatherine C. McGeoch. |
| 260 |
_aCambridge ; _aNew York : _bCambridge University Press, _c2012. |
||
| 300 |
_ax, 261 p. : _bill. ; _c25 cm. |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 8 | _aMachine generated contents note: 1. Introduction; 2. A plan of attack; 3. What to measure; 4. Tuning algorithms, tuning code; 5. The toolbox; 6. Creating analysis-friendly data; 7. Data analysis. | |
| 520 | _a"Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations, and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I analyze the data? Answering these questions needs ideas from algorithm design and analysis, operating systems and memory hierarchies, and statistics and data analysis. The wide-ranging discussion includes a tutorial on system clocks and CPU timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a demonstration of variance reduction techniques. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms. A companion website, AlgLab (www.cs.amherst. edu/ccm/alglab) contains downloadable files, programs, and tools for use in projects"-- | ||
| 650 | 0 | _aComputer algorithms. | |
| 856 | 4 | 2 |
_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/3492 |
| 942 |
_cBK _2ddc |
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