Lectures related to Algorithmic Fundamentals

Covers state space models and the expressivity of transformers in sequence copying tasks.

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Covers the basics of scientific computing with Python, focusing on programming, algorithms, and numerical methods.

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Discusses Strassen's algorithm for matrix multiplication and heaps, covering efficient algorithms and their applications in computer science.

Covers flow networks, focusing on flows, cuts, and their applications in algorithms.