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We have discussed the need for more types above `Array`, e.g. in #750. Candidates include `DenseArray`, `UniformDenseArray`, `ContiguousArray`, `UniformAccessArray`, etc.
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This means that I can't use a `CholeskyDense` or `LUDense` as the invertible matrix inside the `Woodbury` class.
However, changing the line in `base/linalg_dense.jl`:
``` julia
abstract Factorizatio…
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As per the documentation provided in VexCl, there is a SpMV function and it leverages Eigen's sparse matrix structure. In the same vein, would it be possible to have a defined API for interfacing with…
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I don't see what useful purpose is served by having this distinction in the type system, introduced by #987 (and see also the discussion in #5810). According to the description in the manual:
> T…
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I just tried to compute inverse of sparse matrix and got the next error:
```
ERROR: no method lufact(SparseMatrixCSC{Float32,Int64},)
in inv at linalg/dense.jl:425
```
I think I remember that some …
sbos updated
10 years ago
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bc.. If you are going to implement some stuff for solving linear equations (as
you mentioned in your recent blog post), I could provide working (yet
somewhat messy) code to do the basic stuff like LU …
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@andreasnoackjensen I have made updates to the documentation on master, but it would be great if you can review it.
Would it be ok to rename `eigenfact` to `eigfact` and the type to `EigenDense`, to …
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eigs and svds run into trouble computing too many eigenvalues/singular values
not sure if this is expected behavior
julia> load("sparse.jl")
julia> load("suitesparse.jl")
julia> load("arpack.jl")
…
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I was trying to figure out how to invert a matrix in a 0.2.0 installation of julia, and I found out that 1/x gives me a different inverse than inv(x).
Here is my output
```
julia> x = rand(3, 3)
3x…
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I couldn't find a test for the determinant. Maybe this is because its reverse mode is not implemented? I see some pdfs on the internet where the algopy determinant has been tested in the past.