SciML / SciML/RecursiveArrayTools.jl
Using UpperTriangular and LowerTriangular arrays (or maybe more generally AbstractArrays?)
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- Dominant language
- Julia
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Description
Related to this discourse thread.
Currently, UpperTriangular, LowerTriangular, UnitUpperTriangular and UnitLowerTriangular arrays don't seem to be fully supported. It would be great if those could also be implemented to work exactly as they would normally if they are used in an ArrayPartition. I have not yet checked for different types of arrays, but perhaps the other special array types (sparse, diagonal, etc. ) would also be nice to add if they don't work yet.
Contributor guide
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 with ArrayPartition behavior and the linked Discourse thread, then check how UpperTriangular, LowerTriangular, UnitUpperTriangular, and UnitLowerTriangular arrays currently behave. Define the supported scope, including whether sparse or diagonal arrays are included, and verify that supported types work as they normally would when used in an ArrayPartition.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100