Comments (2)
This is a weird one I haven't seen before...the issue is clearly that resize!
doesn't always work with BigFloat
. Here's a MWE showing its probably a bug in StdLib:
julia> resize!(qr(BigFloat.(randn(5,5))) \ BigFloat.(randn(5)),3)
ERROR: cannot resize array with shared data
Stacktrace:
[1] _deleteend!
@ ./array.jl:893 [inlined]
[2] resize!(a::Vector{BigFloat}, nl::Int64)
@ Base ./array.jl:1109
[3] top-level scope
@ REPL[24]:1
For now can you try changing adaptivetransform_ldiv
to just call an allocating chop
(which you might have to write yourself)?
from classicalorthogonalpolynomials.jl.
PS at the moment the transform is falling back to the generic slow transform based on inverting the Vandermonde matrix. We should change it to call FastTransforms.jl
from classicalorthogonalpolynomials.jl.
Related Issues (20)
- Quadratically shifted bases HOT 4
- Stackoverflow for P'P HOT 2
- Lanczos Jacobi matrices and `^` HOT 2
- long compilation time for Jacobi(m,n) \ Jacobi(0,0) HOT 3
- Chebyshev() \ exp.(im*x) errors
- Make P[0.1,10] allocation free
- Ambiguities in ClassicalOrthogonalPolynomials and its dependencies
- Fourier{BigFloat} HOT 6
- UndefVarError in docs HOT 2
- Cholesky Jacobi matrices are insanely slow HOT 9
- Infinite loop converting between ChebyshevU and Ultraspherical HOT 1
- Can't print slices of orthogonal polynomials
- Can't compute scalar times squared jacobmatrix HOT 3
- A \ B never completes when B is a `Normalized` basis HOT 2
- no method matching combine_axes() when indexing a transposed \(A, B)
- copy(Ldiv(A, B)) for Normalized(A) and Weighted(Normalized(B)) ambiguity
- Clenshaw errs with degree-0 polynomial
- Identity mapping wT -> wU HOT 1
- How to cite the package? HOT 4
- How to get BigFloat accurate conversion operators? HOT 4
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from classicalorthogonalpolynomials.jl.