Skip to content

FOLLOW AN IDEA

Bipartite matching

Matching in a two-part graph pairs vertices across parts without shared endpoints.

Explore concept graph · Explore connected videos

Different ways to understand it

No reviewed video yet. Explore the concept in a map or suggest a resource. Suggest a video

More concepts to explore

  • Assignment problem

    A costed one-to-one pairing can be optimized using matching or linear programming structure.

  • Graph matchings

    A matching is a set of edges with no shared endpoints.

  • Max-flow min-cut theorem

    For a finite capacitated network, the maximum flow value equals minimum separating cut capacity.

  • Network flow models

    Maximise flow through capacities; the min-cut theorem turns a bottleneck argument into a computable bound.

  • Approximation algorithms

    An approximation algorithm provides a provable ratio to the optimum under stated assumptions.

Back to the complete concept index →

Knowledge connections

Appears in these maps

LEARNING MAP

Combinatorial Optimization

Explore discrete structures; network algorithms; complexity and approximations. Concepts and connections are available independently of video coverage.

LEARNING MAP

Graph Theory

Explore graph structures; paths, coloring and planarity; networks and spectral viewpoints. Concepts and connections are available independently of video coverage.

Scope reference