Andreas Varga

I also encountered failures for period 17 and above. I used matrices of the form ``` rand*[1.5 -.7 3.5 -.7 1. 0. 2. 3. 1.5 -.7 2.5 -.3 1. 0....

Is this possibly related to ``` julia> zero([rand(3,3),rand(3,3)]) ERROR: MethodError: no method matching zero(::Type{Matrix{Float64}}) Closest candidates are: zero(::Union{Type{P}, P}) where P

I managed using componentwise computation for the `[i,j]` entries through all matrices. However, I look forward to the next versions supporting this feature for cubic splines too (similarly as for...

I would like to interpolate time data stored in a vector of matrices say A, where A[i] contains the value of a time-dependent matrix A(t) at a time moment t_i....

I tried to find a comparable library, e.g. ARPACK, which has similar bindings as SLICOT to the underlying linear algebra libraries BLAS and LAPACK. By inspecting the Windows related tarbals...

Could you try to compile just one routine (e.g., AB01MD.f) to see if the path is correctly set and the object file can be generated?

Yes, this is probably the best choice. For Julia, there are also ready to use libraries on many platforms compiled with various free compilers (see https://github.com/JuliaBinaryWrappers/SLICOT_jll.jl).

I wonder if replacing in `compare.jl` ``` @inline function (!=)(x::DoubleFloat{T}, y::DoubleFloat{T}) where {T

The following is a possible fix to the above problems: ``` julia> Fun(t -> [Af(t) Af(t)],Fourier()) Fun(1×4 ArraySpace: ApproxFunBase.SumSpace{Tuple{CosSpace{PeriodicSegment{Float64}, Float64}, SinSpace{PeriodicSegment{Float64}, Float64}}, PeriodicSegment{Float64}, Float64}[Fourier(【0.0,6.283185307179586❫) Fourier(【0.0,6.283185307179586❫) Fourier(【0.0,6.283185307179586❫) Fourier(【0.0,6.283185307179586❫)], [1.0, 2.0, 1.0,...

I performed repeatedly the following test: ``` using BenchmarkTools using LinearAlgebra a = rand(300,300); u = triu(rand(300,300)); @benchmark UpperTriangular(u)*a # multiplication with exploitation of upper triangular shape @benchmark lmul!(UpperTriangular(u),a) #...