JuliaConstraints / JuliaConstraints/ConstraintProgrammingExtensions.jl
Implement ABS bridge for min/max
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- Dominant language
- Julia
- Stars
- 24
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Some NLP solvers do not support min/max, but they do support absolute values: we should provide a bridge for that use case.
Idea from https://yetanothermathprogrammingconsultant.blogspot.com/2020/01/how-to-model-yminx1x2.html
Different from #11 and #14: NLP point of view on these functions, not MIP or CP.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the distinctions from issues #11 and #14 and the linked modeling reference. Identify the existing min/max constraint entry points and how absolute-value constraints are represented, then define and test the ABS bridge for NLP solvers that lack native min/max support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100