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courses:cs211:winter2011:journals:camille:chapter7 [2011/04/05 04:24] – [Section 3: Choosing Good Augmenting Paths] cobbc | courses:cs211:winter2011:journals:camille:chapter7 [2011/04/05 04:39] (current) – [Section 2: Max Flows and Min Cuts in a Network] cobbc | ||
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* **Summary: | * **Summary: | ||
+ | This section is an analysis of the Ford-Fulkerson algorithm. They show that the flow is the max possible value for any flow in the graph. If you divide the nodes into two sets A and B such that s is in A and t is in B, then the capacity of the cut is the sum of the capacities of the edges out of A. Cuts provide upper bounds on the values of flows. v(f) = fout(A)-fin(A). They go on to show that the max flow is upper bounded by the capacity of every cut, so there can't be a cut with value less than the flow. In order to show that the flow is the maximum psosible value of any flow in G, we use this fact. We show that there' | ||
* **Questions and Insights:** | * **Questions and Insights:** | ||
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* **Readability: | * **Readability: | ||
- | Great :) | + | Great :) Except I felt like they kept giving the same facts over and over and over in this section ... they' |
===== Section 3: Choosing Good Augmenting Paths ===== | ===== Section 3: Choosing Good Augmenting Paths ===== |