Dinic's Max Flow Algorithm is an efficient method for computing the maximum flow in a flow network. It operates in two main phases: the level graph construction and the blocking flow finding. In the first phase, it uses a breadth-first search (BFS) to create a level graph, which organizes the vertices according to their distance from the source, ensuring that all paths from the source to the sink flow in increasing order of levels. The second phase involves repeatedly finding blocking flows in this level graph using depth-first search (DFS), which are then added to the total flow until no more augmenting paths can be found.
The time complexity of Dinic's algorithm is in general graphs, where is the number of vertices and is the number of edges. However, for networks with integral capacities, it can achieve a time complexity of , making it particularly efficient for large networks. This algorithm is notable for its ability to handle large capacities and complex network structures effectively.
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