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This lecture covers the weak and strong duality theorems in linear programming, explaining the relationship between primal and dual optimal solutions. It also discusses complementary slackness and consequences of strong duality, emphasizing the importance of feasible and optimal solutions. The lecture concludes with the implications of weak duality, strong duality, and the complementary slackness condition for all optimal solutions, highlighting the significance of degeneracies in the primal and dual problems.