Lectures related to Theory of Computability: Solvability and 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.

Explores computational complexity, NP-completeness, and polynomial reductions in theoretical computer science.

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

Explores dynamic programming for the Knapsack problem, discussing strategies, algorithms, NP-hardness, and time complexity analysis.

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