Tower of Hanoi: Recursion and Dynamic Programming

This lecture covers the Tower of Hanoi algorithm, recursion, and dynamic programming. It explains the recursive nature of the Tower of Hanoi problem, demonstrating how to solve it for n disks based on the solution for n-1 disks. The lecture also discusses the general schema of a recursive algorithm, emphasizing the importance of a termination condition. It illustrates the calculation of the sum of the first n integers using recursion and how it can be extended to solve other recurrence equations. Additionally, it compares the complexities of recursive and iterative solutions for the sum of integers, highlighting the advantages of each approach.