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This lecture discusses the concepts of greedy strategy and dynamic programming, highlighting their similarities and differences in building solutions. Greedy strategy involves making optimal choices at each step, while dynamic programming focuses on recursion and subproblem optimality to find the best solution. The lecture explains how these strategies are applied in various problems, such as branch and bound algorithms and integer programming, emphasizing the strengths and weaknesses of each approach.