Lectures related to Card Shuffling Models

Covers the analysis of quick sort, including time complexity and randomization for finding the k-th smallest number.

Covers complexity classes, tractable problems, the class NP, NP-complete problems, and summarizes the concept of tractable problems.

Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.

Covers the fast exponentiation algorithm and its time complexity, prime number properties, and the El-Gamal encryption scheme.

Explores the Shor algorithm circuit details for efficient number factoring using quantum computing.

Focuses on solving 2019 Algorithms Midterm Exam problems and analyzing time complexities.