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The Ford-Fulkerson algorithm is used to find the maximum flow in a network, which is the maximum amount of flow that can be sent from a source node to a sink node in a network.
The time complexity of the Ford-Fulkerson algorithm for finding the maximum flow in a network is O(E f), where E is the number of edges in the network and f is the maximum flow value.
The tight bound for the time complexity of an algorithm is the maximum amount of time it will take to run, regardless of the input size. It helps to understand how efficient the algorithm is in terms of time.
The runtime complexity of the Edmonds-Karp algorithm for finding the maximum flow in a network is O(VE2), where V is the number of vertices and E is the number of edges in the network.
The time complexity of the Edmonds-Karp algorithm for finding the maximum flow in a network is O(VE2), where V is the number of vertices and E is the number of edges in the network.