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⚙️AlgorithmIntermediate

Bipartite Matching - Hopcroft-Karp

Hopcroft–Karp computes maximum matching in a bipartite graph in O(E \sqrt{V}) time, which is asymptotically faster than repeated DFS (Kuhn's algorithm).

#hopcroft karp#bipartite matching#augmenting path+11
⚙️AlgorithmAdvanced

General Matching - Blossom Algorithm

Edmonds' Blossom Algorithm finds a maximum matching in any undirected graph, not just bipartite ones.

#blossom algorithm
Advanced
Filtering by:
#augmenting path
#edmonds matching
#general graph matching
+12
⚙️AlgorithmIntermediate

Bipartite Matching - Kuhn's Algorithm

Kuhn’s algorithm finds a maximum matching in a bipartite graph by repeatedly searching for augmenting paths using DFS.

#bipartite matching#kuhn algorithm#augmenting path+12
⚙️AlgorithmIntermediate

König's Theorem

König's Theorem states that in any bipartite graph, the size of a maximum matching equals the size of a minimum vertex cover.

#konig's theorem#bipartite matching#minimum vertex cover+12
⚙️AlgorithmIntermediate

Min-Cut Max-Flow Theorem

The Max-Flow Min-Cut Theorem says the maximum amount you can push from source to sink equals the minimum total capacity you must cut to disconnect them.

#max flow#min cut#edmonds karp+12
⚙️AlgorithmIntermediate

Maximum Flow - Ford-Fulkerson

Ford–Fulkerson finds the maximum possible flow from a source to a sink by repeatedly pushing flow along an augmenting path in the residual graph.

#maximum flow#ford-fulkerson#edmonds-karp+10