Which of the following approach does Ford-Fulkerson use?

Explanation: Ford-Fulkerson algorithm uses the idea of residual graphs which is an extension of naïve greedy approach allowing undo operations. 6.

What is Ford-Fulkerson algorithm explain with appropriate example?

The Ford-Fulkerson algorithm is used to detect maximum flow from start vertex to sink vertex in a given graph. In this graph, every edge has the capacity. Two vertices are provided named Source and Sink. The source vertex has all outward edge, no inward edge, and the sink will have all inward edge no outward edge.

Does Ford Fulkerson always terminate?

The max-flow min-cut theorem along with the above observation ensures that with integral capacities, Ford-Fulkerson must always terminate and the number of iterations is at most: C = the sum of edge capacities leaving s. Hence complexity is O(m + nC).

Which technique of Fulkerson algorithm helps to solve max-flow problem?

The Ford Fulkerson method, also known as ‘augmenting path algorithm’ is an effective approach to solve the maximum flow problem. The Ford Fulkerson method depends on two main concepts and they are, Residual Network. Augmenting paths.

What is Ford-Fulkerson Theorem?

Ford-Fulkerson algorithm is a greedy approach for calculating the maximum possible flow in a network or a graph. A term, flow network, is used to describe a network of vertices and edges with a source (S) and a sink (T). Each vertex, except S and T, can receive and send an equal amount of stuff through it.

What type of algorithm is Ford-Fulkerson?

The Ford–Fulkerson method or Ford–Fulkerson algorithm (FFA) is a greedy algorithm that computes the maximum flow in a flow network.

Is Ford-Fulkerson NP complete?

1 Answer. Yes, the Ford-Fulkerson algorithm is a pseudopolynomial time algorithm. Its runtime is O(Cm), where C is the sum of the capacities leaving the start node. Since writing out the number C requires O(log C) bits, this runtime is indeed pseudopolynomial but not actually polynomial.