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This lecture covers optimization on convex sets, including KKT points, stationary points, and tangent cones. It explores normal cones, optimality conditions, and special cases defined through equality and inequality constraints. The lecture also delves into global optimality, Slater's condition, and sets of minimizers in convex problems.