Bezier Curves II

Related lectures (31)

Page 3 of 4

Covers an overview of convex optimization, affine sets, polyhedra, ellipsoids, and convex functions.

Explores convexity, concavity, and limiting developments for functions, emphasizing extrema and derivative properties.

Covers the derivative of the composition of two functions and the chain rule theorem.

Explores inflection points, convexity, concavity, and asymptotes in functions, with examples and applications.

Explores invertible matrices, injective functions, and the theory of reciprocal functions.

Covers the rules of derivation and how to calculate derivatives.

Discusses the continuity of the derivative function and presents a counterexample of a function that is not necessarily continuous.

Explores the sufficient optimality conditions for local minima in functions.

Introduces convex sets and functions, discussing minimizers, optimality conditions, and characterizations, along with examples and key inequalities.