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Maximum Flow Problem Multiple choice Questions and Answers (MCQs)
Question 1 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER] |
What does Maximum flow problem involve?
finding a flow between source and sink that is maximum | |
finding a flow between source and sink that is minimum | |
finding the shortest path between source and sink | |
computing a minimum spanning tree |
Question 1 Explanation:
The maximum flow problem involves finding a feasible flow between a source and a sink in a network that is maximum and not minimum.
Question 2 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER] |
A network can have only one source and one sink.
False | |
True |
Question 2 Explanation:
A network can have only one source and one sink inorder to find the feasible flow in a weighted connected graph.
Question 3 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER] |
What is the source?
Vertex with no incoming edges | |
Vertex with no leaving edges | |
Centre vertex | |
Vertex with the least weight |
Question 3 Explanation:
Vertex with no incoming edges is called as a source. Vertex with no leaving edges is called as a sink.
Question 4 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER] |
Which algorithm is used to solve a maximum flow problem?
Prim's algorithm | |
Kruskal's algorithm | |
Dijkstra's algorithm | |
Ford-Fulkerson algorithm |
Question 4 Explanation:
Ford-fulkerson algorithm is used to compute the maximum feasible flow between a source and a sink in a network.
Question 5 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER] |
Does Ford- Fulkerson algorithm use the idea of?
Naive greedy algorithm approach | |
Residual graphs | |
Minimum cut | |
Minimum spanning tree |
Question 5 Explanation:
Ford-Fulkerson algorithm uses the idea of residual graphs which is an extension of naive greedy approach allowing undo operations.
There are 5 questions to complete.