Table of 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