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242-535 ADA: 12. Max Flow1 Objective o describe the maxflow problem, explain and analyse the Ford-Fulkerson, Edmonds-Karp, and capacity scaling algorithms,
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Midterm < 20 1 20-29 0 30-39 4 40-49 5 50-59 9 60-69 7 70 3
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Maximum Flows Lecture 4: Jan 19. Network transmission Given a directed graph G A source node s A sink node t Goal: To send as much information from s
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Maximum Flow CSC 172 SPRING 2002 LECTURE 27. Flow Networks Digraph Weights, called capacities, on edges Two distinct veticies Source, “s” (no incoming
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Flows sourcesink s t Flows sourcesink 5 2 4 2 3 4 7 2 edge-weights = capacities
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