JuliaDiff / JuliaDiff/ReverseDiff.jl
Hypothetical: ReverseDiff or Analytical Derivative
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 393
- Forks
- 60
- Avg merge
- 18h 24m
- Merged PRs (30d)
- 8
Description
Hypothetically, which differentiator is faster, the ReverseDiff or an Analytical Derivative?
I'm about to attempt a study on behalf of my employer, but I wanted to see if this has already been done before.
Contributor guide
No contributing guide indexed for this repository
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
No files, tests, or implementation entry points are mentioned. Start by reviewing ReverseDiff.jl's existing documentation and prior issues, then identify whether a comparison with analytical derivatives already exists and define the benchmark scope before assessing the result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- performance, tooling
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100