Geodesically Convex Optimization

Related lectures (30)

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Introduces geodesic convexity on Riemannian manifolds and explores its properties.

Explores geodesic convexity, focusing on properties of convex functions on manifolds.

Covers the structure of Riemannian manifolds, geodesic convexity, and the Riemannian distance function.

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.

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

Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.

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

Covers the properties and operations of convex functions.