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 * Algorithms, 4th edition
   * 1.  Fundamentals
     * 1.1  Programming Model
     * 1.2  Data Abstraction
     * 1.3  Stacks and Queues
     * 1.4  Analysis of Algorithms
     * 1.5  Case Study: Union-Find
   * 2.  Sorting
     * 2.1  Elementary Sorts
     * 2.2  Mergesort
     * 2.3  Quicksort
     * 2.4  Priority Queues
     * 2.5  Sorting Applications
   * 3.  Searching
     * 3.1  Symbol Tables
     * 3.2  Binary Search Trees
     * 3.3  Balanced Search Trees
     * 3.4  Hash Tables
     * 3.5  Searching Applications
   * 4.  Graphs
     * 4.1  Undirected Graphs
     * 4.2  Directed Graphs
     * 4.3  Minimum Spanning Trees
     * 4.4  Shortest Paths
   * 5.  Strings
     * 5.1  String Sorts
     * 5.2  Tries
     * 5.3  Substring Search
     * 5.4  Regular Expressions
     * 5.5  Data Compression
   * 6.  Context
     * 6.1  Event-Driven Simulation
     * 6.2  B-trees
     * 6.3  Suffix Arrays
     * 6.4  Maxflow
     * 6.5  Reductions
     * 6.6  Intractability
 * Related Booksites
   
   

 * Web Resources
 * FAQ
 * Data
 * Code
 * Errata
 * Lectures
 * Cheatsheet
 * References
 * Online Course
 * Programming Assignments








ALGORITHMS, 4TH EDITION




essential information that
every serious programmer
needs to know about
algorithms and data structures







ONLINE CONTENT. 

This booksite contains tens of thousands of files, fully coordinated with our
textbook and also useful as a stand-alone resource. It consists of the following
elements:
   

   

 * Excerpts. A condensed version of the text narrative, for reference while
   online.
   
   

 * Lectures. Curated studio-produced online videos, suitable for remote
   instruction via CUvids.
   
   

 * Java code. The algorithms and clients in this textbook, along with the
   standard libraries they use.
   
   

 * Exercises. Selected exercises from the book and “web exercises” developed
   since its publication, along with solutions to selected exercises.
   
   

 * Programming assignments. Creative programming assignments that we have used
   at Princeton.

You can explore these resources via the sidebar at left.




TEXTBOOK. 

The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne [
Amazon · Pearson · InformIT ] surveys the most important algorithms and data
structures in use today. We motivate each algorithm that we address by examining
its impact on applications to science, engineering, and industry. The textbook
is organized into six chapters:
 * Chapter 1: Fundamentals introduces a scientific and engineering basis for
   comparing algorithms and making predictions. It also includes our programming
   model.
 * Chapter 2: Sorting considers several classic sorting algorithms, including
   insertion sort, mergesort, and quicksort. It also features a binary heap
   implementation of a priority queue.
 * Chapter 3: Searching describes several classic symbol-table implementations,
   including binary search trees, red–black trees, and hash tables.
 * Chapter 4: Graphs surveys the most important graph-processing problems,
   including depth-first search, breadth-first search, minimum spanning trees,
   and shortest paths.
 * Chapter 5: Strings investigates specialized algorithms for string processing,
   including radix sorting, substring search, tries, regular expressions, and
   data compression.
 * Chapter 6: Context highlights connections to systems programming, scientific
   computing, commercial applications, operations research, and intractability.

Reading a book and surfing the web are two different activities: This booksite
is intended for your use while online (for example, while programming and while
browsing the web); the textbook is for your use when initially learning new
material and when reinforcing your understanding of that material (for example,
when reviewing for an exam).




FOR TEACHERS:

   

   

 * This online content. Everything on these pages is freely available. We ask
   only that you adhere to normal academic traditions of attribution if you
   adapt this content in your own course. One best practice is to just provide
   links to our pages.
   
   

 * To use the lecture videos. Please go to the Lectures tab at left for links to
   all the online videos and suggestions on how to use them.
   
   

 * To adopt the textbook. You can request an examination copy or email the
   authors for more information. Here is the preface. ACM/IEEE cites COS 226 as
   a course exemplar in CS2013. Lecture slides (in Keynote format) are available
   by request for instructors who adopt the textbook.




FOR STUDENTS:

   

 * This online content. Whether your course uses our book or not, you can
   reinforce your understanding of many topics related to the study of
   algorithms by browsing the excerpts, code, and exercises here, watching the
   lecture videos, and/or using our book as a reference.
   
   

 * Java code. Please go to the Code tab at left for instructions on setting up a
   Java programming environment, installing our standard libraries, and
   downloading all of our code.
   
   

 * Lecture videos. Please go to the Lectures tab at left for links to all the
   online videos and suggestions on how to use them.
   
   

 * Online course. You can take our free Coursera MOOCs Algorithms, Part I and
   Algorithms, Part II.



Last modified on June 17, 2021.

Copyright © 2000–2019 Robert Sedgewick and Kevin Wayne. All rights reserved.