Carathéodory's theorem (convex hull)

Related lectures (32)

Explores associative operations on tuples and sets, demonstrating their properties through various examples and proofs.

Explores the optimality of convergence rates in convex optimization, focusing on accelerated gradient descent and adaptive methods.

Explores iterative descent methods in optimization, gradient descent, local minima, and convergence principles.

Explores stochastic gradient descent, covering convergence rates, acceleration, and practical applications in optimization problems.

Explores the fundamentals and applications of Bezier curves, focusing on their construction, properties, and practical uses in design and modeling.

Covers the theory of linear and integer programming, focusing on the integer hull and rational polyhedra.

Explores ray-triangle intersection, barycentric coordinates, points vs. vectors, and other primitives.

Covers Optimal Power Flow solutions, SDP, Chebyshev's inequality, and probability distributions.

Summarizes mixtures of logit models, covering various mixing methods and modeling techniques for taste heterogeneity.

Explores the similarity of convex bodies, affine transformations, the Johen's Theover theorem, and KKT conditions.

Explores reordering series and the properties of power series for function representation.

Explores how randomized classifiers achieve convex combinations in the ROC plane.

Page 2 of 2