Daniel Karrasch

Exactly that's what's happening when you delete locally and `dev MatrixEquations` again.

Don't worry about the nightly issue. Julia triage is going to discuss whether the root cause should be reverted or the fix added. But in any case, v1.8 is not...

We could easily introduce another abstract type. I'm just not sure how widely it will be adopted. Just like with `AbstractMatrix`, which is already subtyping `AbstractArray`, there are a few...

Will we ever do this? Will we include this in v1.9? If some authority gives a thumb up, I can go ahead and release package versions that have an adoption...

@ViralBShah @StefanKarpinski @andreasnoack @dlfivefifty @stevengj Any opinions on this piece? I have functional PRs in BandedMatrices.jl, ArrayLayouts.jl, GenericLinearAlgebra.jl and SparseArrays.jl. If we want this, we have two options: 1. Merge...

Thanks for the feedback @stevengj, much appreciated to move towards a conclusion. There are at least two aspects to this PR which are breaking, though not equally severely. 1. Give...

Here are some issues with our current design: - Accidentally using Q in methods where it is slow, as you say. If you look at julia v1.6, then products of...

Apparently, you can interpolate data "cubicly" only for data types that have `zero` defined. Probably, you can fix this by making your array `SMatrix`-valued (from `StaticArrays.jl`).

Perhaps, this is because B-splines are not meant for interpolation but for fitting, after all? http://mathworld.wolfram.com/B-Spline.html I suspect a classic spline interpolation (no B-splines!) as in Dierckx.jl (note that by...

Note that this does already work for static matrices: ```julia julia> using StaticArrays julia> data = SMatrix{2,2,Float64}.([[1 2; 3 4], [5 6; 7 8]]) 2-element Array{SArray{Tuple{2,2},Float64,2,4},1}: [1.0 2.0; 3.0 4.0]...