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Covers the concept of the exponential family and discusses forward and backward maps, expensive computations, parameters, functions, and convexity.
Covers conditional statements and graph theory, including proof techniques and concepts related to graphs, paths, connectivity, and gossip protocols.
Explores topological sort, acyclic graphs, Strongly Connected Components, magic algorithm, component graph, flow networks, and their applications.
Covers the fundamentals of graph theory, including vertices, edges, degrees, walks, connected graphs, cycles, and trees, with a focus on the number of edges in a tree.
Explains the concept of trees in graph theory and the definition of a spanning tree.
Introduces induced flows, basis matrices, and tree solutions in graph theory.
Explores neuronal connectivity patterns, connection probabilities, and experimental techniques used to study synaptic connectivity.
