Minkowski-Weyl: Convexity and Separation Theorem

Related lectures (30)

Page 1 of 3

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

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

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

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

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 harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.

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

Covers the proof of the Jordan Curve Theorem and the properties of embedded spheres.

Explores the proof of Weyl's theorem, focusing on discrete spectrum, ground states, and potential energy continuity.