Algorithm for generating a random Flow Network/Graph
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
Research direction
No files, tests, or entry points are named. First clarify the generator's required inputs, network-size targets, source and sink behavior, flow representation, and validity guarantees; done would mean an agreed algorithm and corresponding Boost Graph implementation and tests.
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Description
Dear all,
Recently, I was working on a Flow Decomposition Problem, and found out that there are not many datasets for large valid flow networks. Nor could I find any existing software to generate such a Network/Graph. Are there any plans to develop such an algorithm within Boost. If yes, I would definitely like to contribute towards it.
Basically, by a valid flow network, I mean that there will be certain vertices as sources with input_flow = 0 , certain vertices as sinks output_flow = 0 , and rest all vertices should follow conservation of flow, i.e., input_flow = output_flow
Thank you,
Bashar Ahmed.
- Dominant language
- C++
- Stars
- 395
- Forks
- 239
- Avg merge
- 18h 50m
- Merged PRs (30d)
- 20
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