JuliaDiff / JuliaDiff/ForwardDiff.jl
Hessian should be symmetric
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 1k
- Forks
- 160
- PR merge metrics
- No merged PRs in 30d
Description
The Hessian of a function f is a symmetric matrix if f is smooth enough.
Is there a way of having this information made available? I guess not just by returning a SymmetricMatrix, due to type stability.
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
The issue names no files, tests, or entry points. Start by locating the Hessian implementation and related type-stability tests, then determine how symmetry information could be exposed without returning a type-unstable SymmetricMatrix; done means the intended information is available while existing type-stability expectations remain satisfied.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100