Lectures related to Elements of Computational Complexity

Covers the time complexity of algorithms and includes a quiz.

Explores countability and undecidable problems in the theory of computation.

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

Covers the density operator formalism, polynomial time, NP problems, BPP, QMA, and probabilistic algorithms.

Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.

Explores cryptanalysis in public-key systems and the power of interaction in interactive proofs, covering CO-NP, NP classes, P vs. NP, and more.

Covers optimization algorithms, convergence properties, and time complexity of sequences and functions.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.