Clustering: K-MeansCovers clustering and the K-means algorithm for partitioning datasets into clusters based on similarity.
KKT and Convex OptimizationCovers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.
Faces, Facets and VerticesCovers the concepts of faces, facets, and vertices in polyhedra, exploring minimal faces and inequalities.
Trade-offs in Data and TimeExplores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.
