AlgoScope

Minimum Cut

AnalysisadvancedNetwork Flow

The vertices still reachable in the final residual graph are S; the saturated edges leaving S sum to the max flow.

Decision · step 2 of 11Maximum Flow: Min cut of the same network
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BFS finds the shortest augmenting path 0 > 1 > 3 > 5, residual capacities 10, 5, 7. The bottleneck is 5.

Open in the player →or start at step 2

What you will see

After max flow, vertices reachable in the residual graph are one side; crossing edges are the cut.

How maximum flow works →

Cost

SpaceO(V + E)

How you work with it here

play it through, step one change at a time, scrub to any step, run it on your own input.

Screen readers: Edges announce capacity, flow and residual; each step announces the augmenting path and bottleneck.

Reduced motion: Flow labels update with a crossfade; the augmenting path is emphasized statically.

Before this

Taught by the same lesson

Maximum Flow covers these too, in the same run.