Max Sum DiversificationExplores maximizing diversity in document selection, graph clique determination, theorems on negative type, and convex optimization.
Network clusteringExplores network clustering, spectral clustering, k-means algorithm, eigenvalue properties, block model estimation, and structural similarity measurement.
Relations Between EventsExplores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Graph Theory BasicsIntroduces induced flows, basis matrices, and tree solutions in graph theory.
