Comments (5)
giordano
commented on August 21, 2024
As has been noted in JuliaMath/AbstractFFTs.jl#28 this feature not in a released version of this package.
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dlfivefifty
commented on August 21, 2024
Should we tag a new release?
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giordano
commented on August 21, 2024
The last one was in November, so maybe it would be nice. But probably you want to update the docs before doing the release, I couldn't find a reference to the FFT feature anywhere (am I missing something?)
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dlfivefifty
commented on August 21, 2024
I have time to tag, but no time to work on docs. Feel free to make a PR to the docs.
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JeffreySarnoff
commented on August 21, 2024
fixed in v0.5, thank you
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Related Issues (20)
- Move Chebyshev functionality to Chebyshevtransforms.jl
- What algorithm does cheb2leg() use? HOT 2
- Potentially suboptimal performance in r2r transforms? HOT 1
- sph methods slow? HOT 4
- Chebyshev transforms do not work with the FFTW v1.6. HOT 2
- Add a slow path in ultra2ultra transforms?
- Reduction in accuracy in `cheb2leg ∘ leg2cheb` on v0.15 HOT 4
- Regression in `ultra2ultra` with identical orders HOT 1
- Write test for Normalization in `cheb2leg` and `leg2cheb` HOT 4
- `cheb2ultra` seems unreasonably slow HOT 2
- Julia rewrite of libFastTransforms HOT 2
- 1d transforms with multi-dimensional regions are slow HOT 3
- Use Toeplitz-dot-Hankel for very large dimensional transforms HOT 4
- Add multidimensional interface for lib transforms HOT 3
- Avoid reexporting dependencies
- Move out forwardrecurrence and clenshaw
- Segmentation fault for spherical harmonic transform HOT 5
- cheb2leg gives negatives for odd polynomials HOT 3
- Illegal instruction on macos in `ft_plan_chebyshev_to_jacobi` or `plan_cheb2leg`
- Can't use empty vectors in `th_cheb2leg` or `th_leg2cheb`
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