JuliaDiff / JuliaDiff/FiniteDifferences.jl
Gradients and Hessians
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Julia
- Stars
- 318
- Forks
- 32
- PR merge metrics
- No merged PRs in 30d
Description
Add support for gradients and Hessians of multivariate functions.
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
Start by reviewing the repository's existing numerical finite-difference derivative APIs and implementation to understand how multivariate functions are currently handled. Define the expected gradient and Hessian behavior and verify that the package supports both outputs before considering the work complete.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100