Complexity of AlgorithmsExplores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.
Learning from Probabilistic ModelsDelves into challenges of learning from probabilistic models, covering computational complexity, data reconstruction, and statistical gaps.
Elements of Computational ComplexityIntroduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.
Belief propagation simplificationExplores simplifying belief propagation equations for pairwise models, reducing computational complexity from order n cubed to order n.
Linear Systems ResolutionSummarizes methods for resolving linear systems, including Gaussian elimination and LU decomposition.
