Efficiency of Algorithms | EPFL Graph Search

Covers classical and quantum computational complexity concepts and implications.

Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

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