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JuliaMath/Bessels.jl
Invalid stop condition in besseli_power_series

Hi, I believe that arguments in this condition: https://github.com/JuliaMath/Bessels.jl/blob/fa3a1cb3376fb47177c8e09252d0e73385762478/src/BesselFunctions/besseli.jl#L626 should be reversed, ie Math.check_convergence(s, ...
  • genmeblog
  • 1
  • Opened 
    on Jun 17, 2024
  • #115

JuliaMath/Bessels.jl
`besselj(n, x)` returns `NaN` when `x` is negative and `n` is a large negative integer

Consider calling besselj(n, x) where x is negative, while n is a large negative integer: julia Bessels.besselj(-172, -2.0) NaN julia Bessels.besselj(-37, -2.0f0) NaN32 When at least one argument is ...
  • yakovbraver
  • Opened 
    on May 1, 2024
  • #113

JuliaMath/Bessels.jl
Hankel functions sometimes throw NaN values

I recently bumped into hankelh1() and hankelh2() returning NaN real parts for nu = 7, x= \sqrt(15^2-1). Values close to this point both in nu and x behave nicely. Is besseljy() behaving badly here for ...
bug
  • olaca09
  • 1
  • Opened 
    on Mar 4, 2024
  • #111

JuliaMath/Bessels.jl
Unavailable derivatives for power series when `isinteger(v)`

  • heltonmc
  • Opened 
    on May 23, 2023
  • #102

JuliaMath/Bessels.jl
Remove requirement on `DenseVector`

Hi, Thanks for the very nice library, it s been very helpful to me lately! Is there any specific reason you require a DenseVector for computing range of Bessel functions in-place? E.g. besseli!(out::DenseVector, ...
  • gaspardbb
  • 1
  • Opened 
    on May 12, 2023
  • #99

JuliaMath/Bessels.jl
Support for BigFloat arguments

Why cant we get arbitrary precision on the besselj functions?
enhancement
  • fda-tome
  • 4
  • Opened 
    on May 9, 2023
  • #98

JuliaMath/Bessels.jl
`besselk` Enzyme compatibility w.r.t. order

A narrow issue, but sorting this out will probably provide a pretty good template for other issues. The current issues are: - [x] Incorrect answers/errors for power series - [x] #102 - [x] Incorrect ...
  • cgeoga
  • 12
  • Opened 
    on Apr 27, 2023
  • #96

JuliaMath/Bessels.jl
Large argument inaccuracy for Float32 in besselj0

julia Bessels.besselj0(328049.34f0) -0.0013240778f0 julia Bessels.besselj0(Float64(328049.34f0)) -0.0013258623831875669 I m imagining the better sin sum here could help. Originally posted by @heltonmc ...
bug
  • heltonmc
  • Opened 
    on Apr 11, 2023
  • #90

JuliaMath/Bessels.jl
Improve performance for large arguments in besselj0

The bug fix in https://github.com/JuliaMath/Bessels.jl/pull/57 was fine for accuracy but this should be a lot better.... # fine performance julia @benchmark besselj0(x) setup=(x=130.0 + rand()) BenchmarkTools.Trial: ...
  • heltonmc
  • 1
  • Opened 
    on Jan 30, 2023
  • #76

JuliaMath/Bessels.jl
New uniform approach to testing

The test structure is fairly comprehensive but we are starting to run into a few things as the library grows. The test files are becoming a conglomeration of new functions but are not standardized. Additionally, ...
  • heltonmc
  • Opened 
    on Dec 8, 2022
  • #75
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