Lectures related to Simon Problem 4: Quantum State and Complexity Analysis

Explains Big-O notation for algorithm complexity and polynomial growth rates.

Introduces an improved algorithm for three-color parity games, focusing on progress measures, acceleration, and practical speed-up.

Explores countability and undecidable problems in the theory of computation.

Explores recursion in programming, discussing its benefits, challenges, and impact on algorithm complexity.

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.

Covers the Big-O notation to analyze algorithm efficiency and provides examples of polynomial and factorial function estimates.