Elements of Computational ComplexityIntroduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.
Complexity Classes: P and NPExplores complexity classes P and NP, highlighting solvable and verifiable problems, including NP-complete challenges.
Optimization AlgorithmsCovers optimization algorithms, convergence properties, and time complexity of sequences and functions.
Density Operator FormalismCovers the density operator formalism, polynomial time, NP problems, BPP, QMA, and probabilistic algorithms.
P vs NP: Complexity TheoryDelves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.
