Convex set

Related lectures (32)

Page 2 of 4

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

Explores optimal transport and gradient flows in Rd, emphasizing convergence and the role of Lipschitz and Picard-Lindelöf theorems.

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

Covers geodesically convex optimization on Riemannian manifolds, exploring convexity properties and minimization relationships.

Explores Hamiltonian dynamics on convex polytopes, covering symplectic capacities, EHZ capacity, and systolic ratio maximizers.

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

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

Explores optimization basics such as norms, convexity, and differentiability, along with practical applications and convergence rates.

Explores optimal transport and convex analysis, emphasizing convex functions and their applications.

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