Convex Functions

Related lectures (31)

Page 3 of 4

Covers the concept and calculation of directional derivatives in multivariable calculus.

Explores derivatives, tangents, and elementary function rules in general mathematics.

Explores continuity, fixed points, and bijective functions in graphs.

Explores partial derivatives and their role in determining tangents to graphs.

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

Covers functions, integers, GCD, and reasoning by recurrence, including the Euclidean algorithm and induction principle.

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

Covers the concept of the exponential family and discusses forward and backward maps, expensive computations, parameters, functions, and convexity.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Explores convexity, Jacobians, subdifferentials, and convergence rates in optimization and function analysis.