Lectures related to Dynamic Arrays: Functions and Examples

Covers the definition and properties of convolution of two functions and explores radioactive material decay rates.

Covers the derivation of geometric properties from spectral side functions.

Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.

Covers the concept of orthogonality between vectors and the notion of distance between functions.

Covers functions, differentiability, Taylor expansions, and integrals, providing fundamental concepts and practical applications.

Covers the representation of structured data, arrays, structures, and functions with multiple return values.

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

Introduces Python programming basics, focusing on functions to enhance code efficiency.