Given a directed weighted graph, how to find the Maximum Flow ( or Minimum Edge Cut ) between all pairs of vertices.
The naive approach is simply to call a Max Flow algorithm like Dinic's, whose complexity is O((V^2)*E)
, for each pair.
Hence for all pairs it is O((V^4)*E)
.
Is it possible to reduce the complexity to O((V^3)*E)
or to O(V^3)
by some optimizations?
Gomory-Hu Tree does not work with directed graphs, putting that aside, Gomory-Hu Tree will form a Graph maximum flow by applying minimum cuts.
The time complexity is:
O(|V|-1 * T(minimum-cut)) = O(|V|-1 * O(2|V|-2)) ~ O(|V|^2)
* using an optimal minimum-cut algorithm (Max-Flow Min-Cut Reduction)
This example illustrate how Gomory-Hu Tree is constructed from a given Graph
Gomory-Hu tree does not work for directed weighted graph.
It is an open problem whether there exist an algorithm to solve all pair maximum flow faster than running n^2 maximum flows on directed graphs.
来源:https://stackoverflow.com/questions/13990689/all-pair-maximum-flow