Essential Information about Algorithms and Data Structures
A Classic Reference
The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.
Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See algs4.cs.princeton.edu/code.
Completely Revised Code
New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.
Engages with Applications
Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books.
Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels.
A Scientific Approach
Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models.
Integrated with the Web
Visit algs4.cs.princeton.edu for a freely accessible, comprehensive Web site, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources.
Chapter 1: Fundamentals
Bags, Stacks, and Queues
Analysis of Algorithms
Case Study: Union-Find
Chapter 2: Sorting
Chapter 3: Searching
Binary Search Trees
Balanced Search Trees
Chapter 4: Graphs
Minimum Spanning Trees
Chapter 5: Strings
Chapter 6: Context
What people are saying - Write a review
Review: AlgorithmsUser Review - Joecolelife - Goodreads
This is the most comprehensive algorithm book I've ever read. According to my memory, the one of the authors, professor Sedgewick, might be the one of professor Donald Knuth's students. Anyway, it ... Read full review
Review: AlgorithmsUser Review - Gabriel - Goodreads
I read this textbook while taking Sedgewick's online Algorithms class on coursera.com. It covers the fundamental algorithms in searching, sorting, graphs, and string processing. There's a consistent ... Read full review