Bipartite Matching Instance Generator

Generate a reproducible random bipartite graph for matching experiments.

Description

Generate a reproducible random bipartite graph for matching experiments.

Bipartite Matching Instance Generator: Generate a reproducible random bipartite graph for matching experiments.

When to use Bipartite Matching Instance Generator

Use this generator to create a reproducible identifier or a controlled optimization instance for examples, benchmarks, solver tests, and algorithm comparisons.

Left vertices
Required integer input.
Right vertices
Required integer input.
Edge probability
Required number input.
Seed
Required string input.

How Bipartite Matching Instance Generator works

Generate a reproducible random bipartite graph for matching experiments. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.1

Instance
The resulting instance returned as an object.

Limitations and assumptions

  • Generated instances reflect the chosen distribution, size, density, and seed; they may not resemble operational data or cover adversarial cases. A generated UUID's properties depend on its version and random source.
  • Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.

Alternative or Complementary approaches

Record the seed and parameters, test multiple distributions and edge cases, and include representative real-world instances when evaluating solver quality.

References

  1. Combinatorial optimization — Wikipedia contributors

  2. Matching (graph theory) - Wikipedia

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