Network Flow Algorithms

Related lectures (27)

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

Discusses Union-Find data structures and Minimum Spanning Trees, covering algorithms and their applications in network design and optimization.

Explores the Ford Fulkerson algorithm, Max-Flow Min-Cut theorem, Incidence matrix, and network optimization complexity.

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

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

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

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.

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

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Explores graphs and matrices, including adjacency, degree, and Laplace matrices, Matrix-tree theorem, and spanning trees.