Although Dynamic Programming methods of Chapter 9 are usually more efficient, the problem of finding a shortest
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Although Dynamic Programming methods of Chapter 9 are usually more efficient, the problem of finding a shortest path from a given origin s to a destination t in a graph with no negative dicycles can easily be represented as a minimum cost flow problem. Using arc lengths as costs, it is only necessary to make s a node with supply
= 1, t a node with demand = 1, and treat all other nodes as transshipment.
(a) Illustrate and justify how this produces an optimal path by formulating the problem of finding a shortest path from s = 3 to t = 5 in the digraph of Exercise 10-1.
(b) Do part
(a) for a path from s = 1 to t = 5 in the digraph of Exercise 10-2.
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