JuliaSmoothOptimizers / JuliaSmoothOptimizers/JSOTutorials.jl
Creating a new solver
- Dominant language
- Julia
- Stars
- 7
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
How to create a new JSO-compatible solver:
- NLPModels input
- GenericExecutionStats output
- `bmark_solvers` against IPOPT on CUTEst problems
- Performance profiles and tables
Don't overexplain any part or it becomes too long.
cf @joaoluisro
Contributor guide
Research direction
Start by reviewing the existing JSOTutorials.jl tutorial structure and the issue's required concepts: NLPModels input, GenericExecutionStats output, and bmark_solvers comparisons against IPOPT on CUTEst problems. Define the tutorial's scope around concise explanations, performance profiles, and tables; done means the complete solver-creation workflow is documented without overexplaining any section.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100