C语言代写

≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges ≤ m – 1 edges 10/12/2010 1 10/12/2010 2 10/12/2010 3 Analysis of Algorithms Shortest

March 5, 2009 4 March 5, 2009 5 March 5, 2009 6 Analysis of Algorithms Recall from previous Lecture • Flow value: | f | = f (s, V). Max-flow, min-cut theorem Proof (continued) Ford-Fulkerson max-flow Ford-Fulkerson max-flow LECTURE 26-27 • Cut: Any partition (S, T) of V such that s ∈ S Network Flows

Shortest paths Well-definedness of shortest paths Well-definedness of shortest paths LECTURE 22 Consider a digraph G = (V, E) with edge-weight functionw:E→R. Theweightofpathp=v1 → v2 → L → vk is defined to be Consider a digraph G = (V, E) with edge-weight functionw:E→R. Theweightofpathp=v1 → v2 → L → vk is defined to be Shortest