Optimal Transport: Brenier's Theorem

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (28)

Page 3 of 3

Introduces convex optimization through sets and functions, covering intersections, examples, operations, gradient, Hessian, and real-world applications.

Convex Optimization: Elementary Results

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

Conjugate Duality: Understanding Convex Optimization

Explores conjugate duality in convex optimization, covering weak and supporting hyperplanes, subgradients, duality gap, and strong duality conditions.

Optimal Transport: Theory and Applications

Explores Lagrange multipliers, minimax theorems, and convex subsets in optimal transport theory.

Convex Optimization

Introduces convex optimization, focusing on the importance of convexity in algorithms and optimization problems.

Convexity: Functions and Global Minima

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

KKT and Convex Optimization

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

Convexity of Lovász Extension

Explores the convexity of Lovász extension and submodular function maximization, focusing on extending functions to convex sets and proving their convexity.