Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.

Contents

1. Introduction

2. Fundamentals of the Analysis of Algorithm Efficiency

3. Brute Force and Exhaustive Search

4. Decrease-and-Conquer

5. Divide-and-Conquer

6. Transform-and-Conquer

7. Space and Time Trade-Offs

8. Dynamic Programming

9. Greedy Technique

10. Iterative Improvement

11. Limitations of Algorithm Power

12. Coping with the Limitations of Algorithm Power

About the Author

Dr. Anany Levitin graduated from the Moscow State University with an MS degree in Mathematics. He holds a Ph.D. degree in Mathematics from the Hebrew University of Jerusalem and an MS degree in Computer Science from the University of Kentucky.  Introduction to the Design and Analysis of Algorithms has been translated into Chinese, Russian, Greek, and Korean and is used in hundreds of schools all over the world. Dr. Levitin is also the author of Algorithmic Puzzles, publishing in Fall 2011.

Dr. Levitin teaches courses in the Design and Analysis of Algorithms at Villanova University.