Algorithm design : foundations, analysis, and Internet examples / Michael T. Goodrich, Roberto Tamassia.
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TextPublisher: New York : Wiley, c2002Description: xii, 708 p. : ill. ; 24 cmISBN: 0471383651 (acid-free paper); 9780471383659 (acid-free paper)Subject(s): Computer algorithms | Data structures (Computer science)DDC classification: 005.1 LOC classification: QA76.9.A43 | G67 2002Online resources: Publisher description | Table of contents | Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Female Library | QA76.9 .A43 G67 2002 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000074779 | |
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| QA76.9 .A25 V359 2007 Testing code security / | QA76.9 .A43 B35 2004 Algorithms and data structures : the science of computing / | QA76.9 .A43 B73 2008 Advanced data structures / | QA76.9 .A43 G67 2002 Algorithm design : foundations, analysis, and Internet examples / | QA76.9 .A43 H37 2006 Beginning algorithms / | QA76.9 .A43 H45 2009 Algorithms in a nutshell / | QA76.9 .A43 K54 2006 Algorithm design / |
Includes bibliographical references (p. [689]-697) and index.
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.
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. Market: Computer Scientists; Programmers.
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