Max-flow and Disjoint Sets

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Page 3 of 3

Ford-Fulkerson Method

Introduces the Ford-Fulkerson Method to find the maximum flow in a network.

Graph Sketching: Connected Components

Covers the concept of graph sketching with a focus on connected components.

Ford-Fulkerson Method: Max Flow and Min Cut

Explores the Ford-Fulkerson method for finding max flow and min cut in a network.

Local Homeomorphisms and Coverings

Covers the concepts of local homeomorphisms and coverings in manifolds, emphasizing the conditions under which a map is considered a local homeomorphism or a covering.

Cheeger's Inequalities

Explores Cheeger's inequalities for random walks on graphs and their implications.

Linear Programming: Weighted Bipartite Matching

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.

Flow Networks: Ford-Fulkerson Method

Explores flow networks, flows, and the Ford-Fulkerson Method for finding maximum flow in a network.

Message passing in graphical models

Explains message passing in graphical models and the matching problem in graph theory.

Low Diameter Random Partitioning

Discusses Low Diameter Randomized Decomposition and graph partitioning for edge cuts and coloring.

Graphical Models: Representing Probabilistic Distributions

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.