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The assignment problem chooses a one-to-one pairing of jobs and agents minimizing their total cost. Its minimum-cost flow formulation puts unit supplies on job vertices and unit demands on agent vertices of a bipartite graph. Integral feasible flows are perfect matchings.

An augmenting path alternates between edges outside and inside a matching in a graph and joins two unmatched endpoints. Flipping its edges increases the matching size by one. In an assignment equality graph it moves toward a perfect matching while preserving zero reduced costs on matched edges.

For a doubly stochastic matrix, the Hall marriage theorem supplies a perfect matching in its positive-entry support. Subtract the smallest matched entry times the corresponding permutation matrix. The residual has equal row and column sums and smaller support unless it vanishes. Repeating gives a convex combination of permutation matrices. With $r$ initially positive entries, there are at most $r-n+1$ terms, since a positive-mass residual has at least $n$ positive entries. Elementary augmenting-path matching gives $O(n^5)$ arithmetic operations.

The Hungarian algorithm maintains feasible assignment dual potentials and a matching of equality edges. If the alternating search cannot augment, adjust reachable job and agent potentials by the smallest reduced cost leaving the search set. This preserves feasibility and existing matching equalities while exposing a new equality edge. A resulting perfect matching attains the dual lower bound.

A minimum-weight perfect matching pairs every vertex exactly once while minimizing total edge weight. General weighted perfect matching has polynomial-time algorithms. In the Christofides algorithm, it corrects precisely the odd-degree vertices of a minimum spanning tree. Alternating edges of a cyclic order on an even number of vertices give two perfect matchings; the cheaper one costs at most half that cycle's cost.

A one-factorization partitions every edge of a graph into perfect matchings. Each matching uses every vertex exactly once. A total of synthemes is precisely a one-factorization of the complete graph on six points.