JuliaDiff / JuliaDiff/ForwardDiff.jl
Plans for supporting Laplacian operator?
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- Dominant language
- Julia
- Stars
- 1k
- Forks
- 160
- PR merge metrics
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Description
Is there any plan to support the Laplacian out of the box? I like the simplicity of ForwardDiff.jl, but right now I am defining the Laplacian operator as
laplacian(f::Function, r) = sum(diag(ForwardDiff.hessian(f,r)))
which is certainly not optimal.
Contributor guide
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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 by reading the ForwardDiff.hessian entry point and the issue's current Julia expression using diag and sum. Determine the intended out-of-the-box Laplacian support and how it should improve on that expression; done means the requested operator is supported with an agreed API and appropriate validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100