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A key missing feature in `BlockSparseArrays`, as mentioned in #1336, is blockwise matrix factorizations. I'm starting an issue here to sketch out an implementation plan for that.
Here is an initial…
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It would be awesome to get some compatibility between BlockArrays and ComponentArrays.
Either BlockArrays of ComponentArrays, such that I'm able to access some vector at
`x[Block(i)].componentName`…
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In light of [this](https://discourse.julialang.org/t/what-depends-on-abstractarray-iteration-order/49704/16?u=luapulu) discourse discussion, could we also support BlockArrays in ArrayInterface.jl? I h…
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Hello,
I'm trying to parallelize a code making use of BlockArrays. For this, I am using CUDA, and its array type CuArrays. However, I've noticed a strange behaviour when running the following script:…
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I have a linear system in the form: A = [K C'; C, 0], (C is relatively small) which requires a large amount of iterations with minres/gmres in order to converge. There is no "out of the box" precondit…
lijas updated
2 years ago
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BlockArrays has a well-developed block matrix structure, so this would avoid needing your own `Block`.
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Hey,
this is probably old news for you, but I just discovered [BlockArrays.jl](https://github.com/JuliaArrays/BlockArrays.jl). If I understand correctly, BlockArrays.jl implements a lot of, if not …
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I had this little dirty piece of code, and thought I'll leave it here for when there is some common ground between `BlockArrays.jl` and `BlockDiagonals.jl`.
```julia
using LinearAlgebra, BlockArrays…
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The following simple code crashes:
```
julia> a = PseudoBlockVector(rand(243), [81,81,81]);
julia> b = PseudoBlockVector(rand(243), [81,81,81]);
julia> a .+= 0.123 .* b;
```
with
```
ERR…
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This issue lists functionalities and feature requests for `BlockSparseArray`.
```julia
using LinearAlgebra
using NDTensors.BlockSparseArrays: BlockSparseArray
a = BlockSparseArray{Float64}([2,…