Abstract this into a general purpose tool that converts networkx graphs into LP problems
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
Might need to establish converters/support for different classes of problems separately. Worth investigating at least. Problems to target:
* multi-commodity network flow (current implementation)
* Scheduling (i.e. the "volunteer coordinator" problem)
* maybe get some inspiration from the PuLP docs
Contributor guide
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Research direction
Start by locating the current multi-commodity network-flow implementation and tracing how it converts networkx graphs into LP problems. Review the PuLP documentation for relevant patterns, then define separate converter support for network flow and scheduling; the work is done when both targeted problem classes are supported by a general-purpose tool.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- tooling
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100