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This lecture covers the concept of linear programming duality, focusing on constraints, variables, solutions, and the relationship between primal and dual LP. The instructor explains the duality theorem, fractional vertices, and the integral property of LP. Examples of bipartite matching and the strong duality theorem are also discussed.