Dinic speed
The computational complexity of Dinic is O(V^2E), and when E is proportional to V, V=10000, it seems that it cannot be solved, but it is considered "faster in reality", and in fact it is fast, then how fast is it?
Dinic method and its time complexity - Misawamemo
Computational complexity is reduced under some conditions when the side capacity is an integer.
When maximum flow is F $ O(FE).
When the capacity of an edge is at most C $ O(C E^{3/2}).
and no multiple edges $ O(CV^{2/3}E).
When the flow through each vertex is at most F $ O(FV^{1/2}E).
Solving bipartite matching with maximum flow corresponds to the case F=1 above
For implementations using dynamic trees, for general graphs $ O(VE\log V).
On the maximum flow problem. - Practice Book. - TopCoder Department
On the Maximum Flow Problem, Part 3 - Practice Chos. - TopCoder Department
If the edge capacity is constant $ O(\min \{ E^{1/2}, V^{2/3} \} E) PDF
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