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Algorithm Design: Foundation, Analysis and Internet Examples / Michael T. Goodrich.

By: Contributor(s): Material type: TextTextPublication details: New York, NY. : John Wiley & Sons, Inc. c2002Edition: 1st edDescription: xxii, 708 p. : ill. ; 24 cmISBN:
  • 0471383651
Subject(s): LOC classification:
  • QA76.9 .A43 G67 2002
Contents:
PART 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.
Summary: Michael 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.
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Holdings
Item type Current library Call number Copy number Status Barcode
Books Library First Floor QA76.9 .A43 G67 2002 (Browse shelf(Opens below)) 1 Available 8766
Books Library First Floor QA76.9 .A43 G67 2002 (Browse shelf(Opens below)) 3 Available 8830
Books Library First Floor QA76.9.A43 .G67 2001 (Browse shelf(Opens below)) 2 Available 8829
Books Library First Floor QA76.9 .A43 G67 2002 (Browse shelf(Opens below)) 4 Available 8831
Books Library First Floor QA76.9 .A43 G67 2002 (Browse shelf(Opens below)) 5 Available 11701

PART 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.

Michael 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.

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