Question: ( Flow variations ) Let G = { V , ~E , ce , wv , s , t } be a flow network. To

(Flow variations) Let G ={V, ~E, ce, wv , s, t} be a flow network. To each vertex v in V \{s, t}, we associate a
weight, wv >0. We want to compute a flow f of maximum value satisfying the following extra constraint:
v in V \{s, t} the flow entering v must be at most wv .
Reduce this variation of the maximum flow problem to an input that can be solved running the Ford-Fulkerson
Algorithm. Also, briefly justify why your reduction is indeed an optimal solution to the given problem.
We expect: a detailed explanation of the transformation of the given input to a network that will serve as
input to Ford-Fulkerson Algorithm, as well as how you recover a solution to the given problem from the
max flow returned by Ford-Fulkerson Algorithm.

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