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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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I need to implement SVD, QR, LU decompositions.
These are not part of standard C++ libraries, but are part of other libraries (like [Eigen3](http://eigen.tuxfamily.org/index.php?title=3.0)).
For …
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* Zipper for updating a tree :
https://stackoverflow.com/questions/19552214/rewriting-trees-in-haskell
* Symbolic part of a sparse Cholesky factorization employs elimination tree:
https:…
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With the latest release (v0.13) nalgebra now supports Rust-native implementations of the following matrix factorizations:
> In particular, this release includes pure-rust implementations of the fol…
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(1) different learning rates for biases and factors
(2) possibly: even different learning rates for different kinds of factors and biases
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On Julia `v1.9.0-rc2` and `v"1.10.0-DEV.1127"`
```julia
julia> using LinearAlgebra, BandedMatrices
julia> A = Symmetric(BandedMatrix(0=>Float64[1:4;], 1=>ones(3), -1=>ones(3)))
4×4 Symmetric{Flo…
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Hi,
Thank you for this great package!
Any scope to include semi nonnegative matrix factorization? Your docs seems to suggest ability to allow negative numbers in matrix to be factorized, but the…
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Installing Julia from a `conda-forge` channel gives the following warning:
```
┌ Warning: CHOLMOD version incompatibility
│
│ Julia was compiled with CHOLMOD version 4.0.4. It is
│ currently l…
ianna updated
1 month ago
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Based on https://github.com/mateuszbaran/CovarianceEstimation.jl/issues/90 we're likely to want something like `PDMat` that supports different factorizations. Two factorizations are currently under di…
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Let's call this m.spad:
```
)abbrev package FACPAK FactorizationPackage
FactorizationPackage(p): Exports == Implementation where
p: PositiveInteger
Exports == with
display_fact…