Lectures related to Functions: Inverse, Composition, and Graphs

Explores injective functions in linear algebra, demonstrating how to prove injectivity step by step.

Covers the properties of functions in Rn and the computation of partial derivatives by induction.

Presents the solution to finding the second-order Taylor polynomial of a function.

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.

Covers entropy, its definition, and its implications in thermodynamics.

Covers sets, functions, and relations, including functions' properties and binary relations.

Explores functions, limits, continuity, differentiability, and important notions of limits and divergence.