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_bVLOAD
_c201007251213
_dmalmash
_c200912131103
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_c200810281418
_dvenkatrajand
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_zmalmash
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
650 0 _aData Structures ( Science Computer )
_948563
700 1 _aTamassia, Roberto
_948564
942 _2lcc
_n0
_cBK
999 _c22914
_d22914