This lecture by the instructor covers the concept of conjugate duality in convex optimization. Topics include weak and supporting hyperplanes, subgradients, envelope representations, Lagrangian, dual objective, duality gap, strong duality conditions, and sensitivity interpretation of dual solutions.
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