Lecture
This lecture covers the concept of dynamic programming applied to the Knapsack Problem, focusing on finding the optimal solution by considering the total weight accumulated by items. It explains the process of building a directed acyclic graph and determining the optimal solution through dynamic programming. The lecture also discusses the smallest weight subset with a specific profit and presents algorithms for solving the Knapsack Problem efficiently.