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I know there is the Incomplete Cholesky Factorization, which I understand is a 'sparse' approximation of cholesky, but is there currently an existing or planned implementation of a full Cholesky Facto…
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Generate matrices of various sizes and values based on their input parameters. The component takes input parameters such as the number of rows and columns of the matrix, the minimum and maximum value …
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First of all, thanks a whole lot for making this sklearn package to easily add NEAT to sklearn!
I wanted to use your package quickly to apply NEAT to a problem that I had tried many different class…
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Symmetric banded matrices seem very fragile and fall back to a generic dense matrix on occasions. Consider the following:
```julia
B = BandedMatrix(Ones(5,5), (0,0))
B * B
```
```
5×5 BandedMatr…
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In our project we have a large dataset of company reviews (text). Text is transformed with `TfidfVectorizer` on a relatively large corpus (>30k). As a result, we have a hugely sparse matrix which then…
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We should be able use both sparse and dense matrices for `X` in `horseshoe_nbinom_gibbs`. While Aesara is designed so that `at.dot` can be used with both, `@` currently raises an error when used wit…
rlouf updated
2 years ago
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In `sage/libs/linbox/linbox.pxd` we currently have two classes that gives an interface for dense integer matrix (`Linbox_integer_dense`) and sparse matrix over Z/nZ (`Linbox_modn_sparse`). These int…
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At the moment there are inconsistencies about how to handle and warn about large `Operators` being converted to matrices in some algorithms. For example `LTIModel._poles` warns you about this in certa…
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Reductions on `SparseMatrixCSC` return dense arrays. Should the same happen for `GBMatrix`?
Current behavior is
```julia
julia> using SparseArrays, SuiteSparseGraphBLAS
# dense matrices from s…
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This input:
```
H = MatrixSymbol('H', 3,3)
X = MatrixSymbol('x', 3, 1)
C = MatrixSymbol('c', 3, 1)
f = (1/2)*X.T*H*X + C.T*X
```
Gives
```
>>> hessian(f, [X])
Traceback (most recent call last):
…