Lectures related to Optimization Problems

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.

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.

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 conditions, loops, functions, and graphics in R programming with practical examples.

Covers the properties and operations of convex functions.