Can you explain the time complexity of the Ford-Fulkerson algorithm and identify any potential optimization techniques?
- O(E * log V)
- O(E^2)
- O(V * E)
- O(V^2)
The time complexity of the Ford-Fulkerson algorithm is O(V * E), where 'V' is the number of vertices and 'E' is the number of edges. To optimize the algorithm, one can explore techniques such as using advanced data structures like Fibonacci heaps, implementing efficient augmenting path strategies, and considering the use of the Edmonds-Karp variant for a guaranteed polynomial time complexity of O(VE^2).
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