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 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 FordFulkerson
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 FordFulkerson Algorithm, as well as how you recover a solution to the given problem from the
max flow returned by FordFulkerson Algorithm.
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