patrick-kidger / patrick-kidger/optimistix
Will constrained optimization be supported?
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feature
question
- Dominant language
- Python
- Stars
- 623
- Forks
- 54
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thank you for the amazing library!
I was wondering if minimizing with user-specified bounds, or algorithms like projected gradient descent are supported?
If not, what would be the best practice you suggest if we are trying to solve things like argmin(norm(Ax+b)) s.t. x >=0?
Thanks in advance!
Contributor guide
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Research direction
The issue names no files, tests, or entry points. Start by reviewing the library's current optimization support and documentation for bounds or projected methods; done would require an agreed design and support for the nonnegative constrained objective.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100