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Algorithms
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Table of Contents

  • Chapter 1: Fundamentals
  • 1.1 Programming Model
  • 1.2 Data Abstraction
  • 1.3 Queues, Stacks, and Bags
  • 1.4 Analysis of Algorithms
  • 1.5 Case Study: Union-Find
  • Chapter 2: Sorting
  • 2.1 Elementary Sorts 2.1 Elementary Sorts
  • 2.2 Mergesort
  • 2.3 Quicksort
  • 2.4 Priority Queues
  • 2.5 Applications
  • Chapter 3: Searching
  • 3.1 Symbol Tables 3.1 Symbol Tables
  • 3.2 Binary Search Trees
  • 3.3 Balanced Search Trees
  • 3.4 Hash Tables
  • 3.5 Applications
  • Chapter 4: Graphs
  • 4.1 Undirected graphs 4.1 Undirected graphs
  • 4.2 Directed graphs
  • 4.3 Minimum Spanning Trees
  • 4.4 Shortest Paths
  • Chapter 5: Strings
  • 5.1 String Sorts 5.1 String Sorts
  • 5.2 Tries
  • 5.3 Substring Search
  • 5.4 Regular Expressions
  • 5.5 Data Compression
  • Context
  • Systems Programming Systems Programming
  • Scientific Computing
  • Commercial Applications
  • Operations Research
  • Intractability
  • Index

About the Author

Robert Sedgewick has been a Professor of Computer Science at Princeton University since 1985, where he was the founding Chairman of the Department of Computer Science. He has held visiting research positions at Xerox PARC, Institute for Defense Analyses, and INRIA, and is member of the board of directors of Adobe Systems. Professor Sedgewick's research interests include analytic combinatorics, design and analysis of data structures and algorithms, and program visualization. His landmark book, Algorithms, now in its fourth edition, has appeared in numerous versions and languages over the past thirty years. In addition, with Kevin Wayne, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008). Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He received a Ph.D. in operations research and industrial engineering from Cornell University. His research interests include the design, analysis, and implementation of algorithms, especially for graphs and discrete optimization. With Robert Sedgewick, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).

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