Windowing Exponentiation

This lecture covers the concept of windowing exponentiation using base-B representation, where the small powers of x are precomputed and stored efficiently. The instructor explains the binary ladders LR and RL, and how to compute y using base-B representation. The lecture emphasizes the importance of precomputing small powers of x and demonstrates the process with various examples. It also discusses the benefits of windowing exponentiation and its application in efficiently computing exponentiation. The lecture concludes with a detailed explanation of the Montgomery ladder and its role in optimizing exponentiation calculations.