Lectures related to Functions and Pattern Matching

Generic Programming: Templates

Covers generic programming in C++ through templates for classes and functions, showcasing examples and discussing specialization and separate compilation.

Differentiability of Functions in Two Variables

Covers differentiability of functions in two variables and the conditions for a function to be differentiable.

Analysis IV: Convolution and Partial Derivatives

Covers the properties of functions in Rn and the computation of partial derivatives by induction.

Blocks, Functions and References

Covers blocks, functions, and references in C++, including scope, variables, function usage, interfaces, pointers, and references.

Entropy and the Second Law of Thermodynamics

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

Definitions and Notations

Covers the definitions and notations related to functions.

Gradient and Taylor Formula

Introduces gradient, Laplacian, Taylor formula, polynomial approximations, extrema, and Taylor series expansions in multiple variables.

Functions: Python Basics

Covers the basics of functions in Python, including their definition, purpose, and usage.

Python Modules and Functions

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