Lectures related to Distributed Computation I

Covers the definitions and notations related to functions.

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

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

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

Covers weak derivatives, their properties, and applications in functional analysis.

Explores Taylor series convergence and applications in approximating functions and solving mathematical problems.

Covers Fourier series, periodic functions, and Fourier transforms.

Covers optimization algorithms, convergence properties, and time complexity of sequences and functions.

Explores distribution and interpolation spaces, showcasing their importance in mathematical analysis and the computations involved.