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For K-12 Students · Bipartite Matching

Bipartite Matching for a call graph

Built for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework. Simulate a call graph live below — adjust the inputs and watch it respond, right in your browser.

Bipartite MatchingLive

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Maximum bipartite matching pairs items from two groups — workers to jobs, students to schools, organs to recipients — so that as many valid pairings as possible are made, with no one assigned twice. Kuhn's algorithm repeatedly finds augmenting paths that improve the matching. The green edges are the optimal assignment.

▶ Run in Python

Data Inspector

Matched pairs0
Max possible6
Methodaugmenting paths

Governing equation

Reading this result: Only 0 of 6 paired: at 40% density the graph is too sparse, so many workers have no eligible job and augmenting paths run out early.

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Frequently asked questions

Is this good for k-12 students?
Yes — this version of "Bipartite Matching for a call graph" is framed for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework.
Do I need to install anything?
No. It runs in any modern browser, free, with no account required.