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Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice with concise implementations that can be tested on real applications, which has made his work popular with programmers for many years.
Algorithms in C, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. A focus on abstract data types makes the programs more broadly useful and relevant for the modern object-oriented programming environment.
The Web site for this book (http://www.cs.princeton.edu/~rs/) provides additional source code for programmers along with numerous support materials for educators.
A landmark revision, Algorithms in C, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Notes on Exercises.
17. Graph Properties and Types.
Variations, Extensions, and Costs.
Simple, Euler, and Hamilton Paths.
Exploring a Maze.
Graph-Search ADT Functions.
Properties of DFS Forests.
Separability and Biconnectivity.
Generalized Graph Search.
Analysis of Graph Algorithms.
Glossary and Rules of the Game.
Anatomy of DFS in Digraphs.
Reachability and Transitive Closure.
Equivalence Relations and Partial Orders.
Reachability in DAGs.
Strong Components in Digraphs.
Transitive Closure Revisited.
Underlying Principles of MST Algorithms.
Prim's Algorithm and Priority-First Search.
Comparisons and Improvements.
All-Pairs Shortest Paths.
Shortest Paths in Acyclic Networks.
Augmenting-Path Maxflow Algorithms.
Preflow-Push Maxflow Algorithms.
Network Simplex Algorithm.