Part 1: Foundations of Algorithm Analysis

This part lays the groundwork for understanding and analyzing algorithms. It begins with fundamental concepts, focusing on how to prove algorithm correctness and measure efficiency. You’ll learn crucial techniques such as mathematical induction, loop invariants, and complexity analysis, setting the stage for more advanced topics.

This part includes the following chapters:

• Chapter 1, Introduction to Algorithm Analysis
• Chapter 2, Mathematical Induction and Loop Invariant for Algorithm Correctness
• Chapter 3, Rate of Growth for Complexity Analysis
• Chapter 4, Recursion and Recurrence Functions
• Chapter 5, Solving Recurrence Functions