Lectures related to Optimization Problems

Covers the concept of partial derivatives and their applications in mathematical analysis.

Covers the definition of a function to determine if a given number is prime.

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

Covers the definitions and notations related to functions.

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.

Covers the study of functions, focusing on convexity criteria within closed subintervals.

Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.

Covers the optimization of functions, focusing on finding the maximum and minimum values over a given domain.

Covers the properties and operations of convex functions.

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