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.Employs an innovative and more comprehensive taxonomy of algorithm design techniquesCovers mathematical analysis of both no recursive and recursive algorithms, as well as empirical analysis and algorithm visualizationDiscusses limitations of algorithms and ways to overcome themTreats algorithms as problem-solving tools and develops algorithmic thinking by using puzzles and gamesContains over 600 exercises with hints for students and detailed solutions for instructorsNew exercises and engaging puzzlesTable of Contents1 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.