Part 5 of Sedgewicks seminal work on Algorithms is available for the first time in a Java version!

• Its unique blend of theory and practice makes this book appeal equally to both the professional and academic markets.
• Over 400,000 copies of Sedgewicks books on algorithms have been sold! This edition is long-awaited, with lots of pent-up demand.
• Robert Sedgewick, along with Donald Knuth, is one of the very few people with a world-wide reputation for their contributions to the field of computer algorithms.

This book is the second of three volumes that survey the most important computer algorithms in use today. Much more than a standard revision, this is a major rewrite. The material is more than five times as long as in the previous edition, which was only available in C and C++. Sedgewick has added a wealth of new exercises, hundreds of new figures, and dozens of new programs. This volume, Part 5, covers graph algorithms, which are pervasive in modern computing appications. Graph algorithms are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In the third edition, many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. Source code for the implementations is available on the Web. The C and C++ versions of this volume have been previously published. Unlike any other book on algorithms, not only will programmers get practical information on using algorithms in their work, they can also be assured that these algorithms rest on the most solid scientific foundations.

User Level:
Intermediate.
Author Biography:

Robert Sedgewick is one of the most revered individuals in all of computer science. He is the William O. Baker Professor of Computer Science at Princeton University. He is a director of Adobe Systems and has held visiting research positions at INRIA, the Institute for Defense Analyses, and Xerox PARC.

Michael Schidlowsky contributed to the Java implementations of the algorithms. Michael, a Princeton graduate, is an independent software consultant specializing in object-oriented programming. Most recently he was the CTO of Teaching That Works, and the founder of xSense Corporation.