Optimal Transport: Theory and Applications

Related lectures (30)

Page 2 of 3

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

Explores Coxeter groups, word length, simple reflections, and unique elements.

Covers the generalization of the TAF theorem, lateral derivatives, limits of derivatives, and indeterminacy.

Delves into the concept of proof in mathematics, emphasizing the importance of evidence and logical reasoning.

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

Explores the theory and application of quadrature formulas for numerical analysis.

Explores the theory of implicit functions, their properties, and illustrative examples.

Explores the theorems on maximum and minimum values of functions and their relation to continuity.

Covers hitting probabilities in Markov chains with disjoint subsets, the function h(i), theorems, proofs, and expected time to hit calculations.

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