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This lecture covers the concept of duality in linear programming, exploring the relationship between primal and dual problems. Starting with an introduction to duality, the instructor explains the duality theorem and its implications. The lecture then delves into the interpretation of dual variables and complementary slackness conditions. Various examples are provided to illustrate the application of duality in optimizing linear programming problems.