JuliaApproximation / JuliaApproximation/ContinuumArrays.jl
Add weaklaplacian(P,n) and grammatrix(P,n) for nxn truncations? n can be an Int or Block
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- Dominant language
- Julia
- Stars
- 31
- Forks
- 6
- Avg merge
- 9d 22h
- Merged PRs (30d)
- 2
Description
I recently added jacobimatrix(P,n) to ClassicalOrthogonalPolynomials.jl as it was sort of needed for n x n truncations that preserved the Tridiagonal structure. But perhaps this interface makes sense for other operators like weaklaplacian and grammatrix?
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 reviewing the existing jacobimatrix(P,n) interface described in the issue and how it supports n x n truncations. Compare the desired weaklaplacian(P,n) and grammatrix(P,n) behavior for Int and Block values of n, then identify the project’s relevant tests or operator entry points. Done means the interface and expected truncation behavior are specified and covered for both n forms.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100