Algorithms

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.

Broad Coverage

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.

Intellectually Stimulating

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.

Contents

Chapter 1: Fundamentals

Programming Model

Data Abstraction

Bags, Stacks, and Queues

Analysis of Algorithms

Case Study: Union-Find

Chapter 2: Sorting

Elementary Sorts

Mergesort

Quicksort

Priority Queues

Applications

Chapter 3: Searching

Symbol Tables

Binary Search Trees

Balanced Search Trees

Hash Tables

Applications

Chapter 4: Graphs

Undirected Graphs

Directed Graphs

Minimum Spanning Trees

Shortest Paths

Chapter 5: Strings

String Sorts

Tries

Substring Search

Regular Expressions

Data Compression

Chapter 6: Context