Maximizing Candies in a City

This lecture covers an algorithmic problem where Bob needs to collect candies while traveling from his home to work in a city with time constraints. The goal is to maximize the number of candies collected while reaching work on time. The lecture presents the problem statement, input-output specifications, and provides examples of possible paths. The algorithm's design and analysis are discussed, emphasizing the importance of efficiency. The solution involves dynamic programming to find the optimal path for candy collection within the given time frame. The lecture also delves into the concept of minimum spanning trees, focusing on adding edges to maintain connectivity. Strategies for stock price prediction games with expert advice are explored, demonstrating how to minimize incorrect predictions.