JuliaDiff / JuliaDiff/ForwardDiff.jl
API for high-order scalar derivatives
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- Dominant language
- Julia
- Stars
- 1k
- Forks
- 160
- PR merge metrics
- No merged PRs in 30d
Description
It'd be nice to use the existing DiffBase.DiffResult API to get higher-order scalar derivatives via derivative!.
For example, it would be cool if you could do the following:
julia> using ForwardDiff: derivative!
julia> using DiffBase: DiffResult
julia> derivative!(DiffResult(0., 0., 0.), sin, 1.0)
DiffBase.DiffResult{2,Float64,Tuple{Float64,Float64}}(0.8414709848078965,(0.5403023058681398,-0.8414709848078965))
Currently, derivative! will just calculate the first derivative:
julia> derivative!(DiffResult(0., 0., 0.), sin, 1.0)
DiffBase.DiffResult{2,Float64,Tuple{Float64,Float64}}(0.8414709848078965,(0.5403023058681398,0.0))
cc @YingboMa
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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 at the existing derivative! entry point and its DiffBase.DiffResult integration. Compare the requested sin example with the current first-derivative result, then verify that higher-order scalar derivatives are populated correctly in the returned DiffResult.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend-api-design
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100