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_a201402040047 _bVLOAD _c201007251213 _dmalmash _c200912131103 _dalawaid _c200810281418 _dvenkatrajand _y200810060916 _zmalmash |
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050 |
_aQA76.9 _b.A43 G67 2002 |
||
100 | 1 |
_aGoodrich, Michael T. _948562 |
|
245 | 1 |
_aAlgorithm Design: Foundation, Analysis and Internet Examples / _cMichael T. Goodrich. |
|
250 | _a1st ed. | ||
260 |
_aNew York, NY. : _bJohn Wiley & Sons, Inc. _cc2002 |
||
300 |
_axxii, 708 p. : _bill. ; _c24 cm. |
||
505 | _aPART I: FUNDAMENTAL TOOLS. Algorithm Analysis. Basic Data Structures. Search Trees and Skip Lists. Sorting, Sets, and Selection. Fundamental Techniques. PART II: GRAPH ALGORITHMS. Graphs. Weighted Graphs. Network Flow and Matching. PART III: INTERNET ALGORITHMICS. Text Processing. Number Theory and Cryptograhy. Network Algorithms. PART IV: ADDITIONAL TOPICS. Computational Geometry. NP--Completeness. Algorithmic Frameworks.Appendix: Useful Mathematical Facts. Bibliography. Index. | ||
520 | _aMichael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. It is aimed at computer scientists and programmers. | ||
650 | 0 |
_aComputer algorithms. _911289 |
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650 | 0 |
_aData Structures ( Science Computer ) _948563 |
|
700 | 1 |
_aTamassia, Roberto _948564 |
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942 |
_2lcc _n0 _cBK |
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999 |
_c22914 _d22914 |