Explain how the maximum flow problem can be cast as a linear programming problem...
Formulation of Flow Maximization Problem as an L.P.P
Let S is the source and D is the target in the directed or undirected graph G = (V, E) and the path under consideration for flow between S and D are k, these paths are not necessarily all disjointed.
P1, P2, P3…, Pk are the paths between S and D and flow along
these paths are F1, F2, F3, …,Fk, respectively.
It is possible to transform the flow maximization problem in to a
linear programming problem with the objective of maximization of
total flow between S and D with the restriction of the edges
capacities that is the flow value in an edge cannot exceed the
capacity of the edge and the total flow cost cannot be higher than
the given budget.
The problem as L.P.P. can be formulated as
The constraints indicate that the sum of flow on an edge e must be
bounded by u suffix e.
Numerical example:
Since all delta j > 0, the
optimality condition satisfied. Hence, the optimal flow value
components are given by
F1=3, F2=1, F3=4, total flow = 8(max flow)
F(max) = 8(maximum flow).
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