Algorithms: United States Edition - Tapa dura

Algorithms is written for an introductory upper-level undergraduate or graduate course in algorithms. With/their many years of experience in teaching algorithms courses, Richard Johnsonbaugh and Marcus Schaefer include applications of algorithms, examples, end-of-section exercises, end-of-chapter exercises, solutions to selected exercises, and notes to help the reader understand and master algorithms.

• Links theory to real-world applications such as data compression, region-finding in digital pictures, cellular phone networks, and the implementation of agrep.
• Includes five chapters that emphasize design techniques: searching (including backtracking), divide and conquer, sorting, selection, the greedy method, and dynamic programming.
• Covers distributed algorithms—a topic recommended by the ACM (2001 report) for an undergraduate curriculum.
• Features a collection of techniques, including approximation, parameterization (a recent area of research), and use of heuristics, to deal with NP-complete problems.
• Contains more than 1450 carefully developed and classroom-tested exercises, from routine to challenging. About one-third of the end-of-section exercises include solutions.
• Provides a robust Companion Website that supplements the text by providing algorithm simulation software, PowerPoint® slides, late breaking news about algorithms, references about the book's topics, computer programs, and more.
• Includes more than 300 worked examples, which provide motivation, clarify concepts, and show how to develop algorithms, demonstrate applications of the theory, and elucidate proofs.