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This lecture introduces the Branch and Bound optimization technique, illustrating its application through examples. The instructor explains how to find feasible solutions and improve them iteratively by splitting problem spaces. The lecture covers LP Relaxation, Integral Optimal Solutions, and the process of deleting subproblems to reach the optimal solution.