Optimal Transport: Theory and Applications

Related lectures (30)

Page 1 of 3

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

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

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

Explores convex sets, their properties, and applications in optimization.

Covers cyclically monotone sets in optimal transport theory and their properties.

Introduces the key concepts of convexity and its applications in different fields.

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

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

Explores optimal transport, emphasizing convexity properties and inequalities in compact sets.

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