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Related lectures (29)

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Explores elementary results in convex optimization, including affine, convex, and conic hulls, proper cones, and convex functions.

Explores the Rockafellar Theorem in optimal transport, focusing on c-cyclical monotonicity and convex functions.

Covers the concept of convex functions and their applications in optimization problems.

Explores geodesic convexity in metric spaces and its applications, discussing properties and the stability of inequalities.

On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.

Covers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.

Introduces convex functions, covering affine, convex, and conic hulls, transformations, inequalities, and conditions for convexity.

Explores VC dimension, gradient descent, convex sets, and Lipschitz functions in convex optimization.

Explores convex functions, global minima, and their relationship with differentiability.

Covers the properties and operations of convex functions.