Slide 1 242-535 ADA: 12. Max Flow1 Objective o describe the maxflow problem, explain and analyse the Ford-Fulkerson, Edmonds-Karp, and capacity scaling algorithms, and look…

Slide 1 Midterm < 20 1 20-29 0 30-39 4 40-49 5 50-59 9 60-69 7  70 3 Slide 2 Matchings matching M = subgraph with vertices of degree  1 Slide 3 Matchings = unmatched…

Slide 1 Maximum Flows Lecture 4: Jan 19 Slide 2 Network transmission Given a directed graph G A source node s A sink node t Goal: To send as much information from s to t…

Slide 1 Maximum Flow CSC 172 SPRING 2002 LECTURE 27 Slide 2 Flow Networks Digraph Weights, called capacities, on edges Two distinct veticies Source, “s” (no incoming…

Slide 1 Slide 2 Flows sourcesink s t Slide 3 Flows sourcesink 5 2 4 2 3 4 7 2 edge-weights = capacities Slide 4 Flows sourcesink 5 2 4 2 3 4 7 2 2 2 2 2 2 2 edge-weights…