Lectures related to Theory of Computation: Decidability and Complexity

Covers the time complexity of algorithms and includes a quiz.

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

Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.

Explores undecidability through recursive languages, Turing machines, and the halting problem.

Delves into oracles, certificates, and the NP complexity class, raising the fundamental P versus NP question.

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