Integer Programming and Network Flows

Related lectures (28)

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Explores network flows, simplex method, linear programming, tree solutions, and dual solutions in optimization problems.

Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.

Covers the concept of maximum flow-minimum cut in directed graphs with capacity constraints.

Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.

Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.

Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.

Covers Minimum Spanning Trees, Kruskal's Algorithm, and Shortest Paths in directed graphs.

Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.

Covers flow networks, focusing on flows, cuts, and their applications in algorithms.

Explores causal inference, directed graphs, and fairness in algorithms, emphasizing conditional independence and the implications of DAGs.