JuliaApproximation / JuliaApproximation/MultivariateOrthogonalPolynomials.jl

Which notation is best?

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Dominant language
Julia
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20
Forks
6
Avg merge
2d 17h
Merged PRs (30d)
1

Description

There are multiple notations used to create multivariate operators:

https://github.com/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/blob/04704a8f486c0c7547c7639899f79869995ec305/src/triangle.jl#L89-L128

When to use the dot notation and when to use BroadcastVector? Is it better to use @. or is that wasteful because it creates some unnecessary broadcasting?

(My impression is that these are due to successive invasions of new notation and not all operators are fully updated, but I could be way off.)

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
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Research direction

Start by reading src/triangle.jl lines 89-128 and compare the dot notation, BroadcastVector, and @. usage described in the issue. Investigate whether the operators are intentionally different or inconsistently updated, then establish a documented notation choice and apply it consistently only after the project’s expected behavior is clear.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
backend
Issue type
Refactor
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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