Constrained Convex Optimization: Min-Max Formulation and Fenchel Conjugation

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This lecture covers the constrained convex optimization problem, introducing a min-max formulation using Fenchel conjugation. It explores the relationship between Lagrangian functions and conjugate functions, emphasizing the indicator function and Slater's condition.

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