Integer Programming and Network Flows

Related lectures (28)

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Discusses graph algorithms, focusing on flow networks and strongly connected components.

Explores the properties of undirected and directed graphs, emphasizing connectivity and network topology modeling.

Introduces Strongly Connected Components and Flow Networks, discussing algorithms and applications.

Covers the introduction to categories, including definitions and examples.

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Covers the independence polynomial of a dependency graph and related concepts such as graph coloring and directed graph properties.

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

Covers topics like DFS output, edge classification, acyclic graphs, correctness, time analysis, SCCs, and the Topological Sort algorithm.

Covers finding the shortest path in directed graphs efficiently using algorithmic approaches and discussing related NP-complete problems.

Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.