Lectures related to Orthogonality and Distance in Functions

Covers the definitions and notations related to functions.

Covers specific operations and examples for dynamic arrays.

Delves into functions on R^n, covering limits and partial differentiation.

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

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

Covers the derivation of geometric properties from spectral side functions.

Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.

Covers mathematical tools used in thermodynamics and explores examples of auxiliary variables.