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I'm thinking of starting a repository JuliaMatrices/MatrixFactorizations.jl to contain matrix factorizations not included in StdLib/LinearAlgebra.jl. In particular I need a `QL` factorization.
Goog…
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[faer](https://faer-rs.github.io/), a pure Rust library for performant low-level linear algebra spearheaded by @sarah-ek, provides dense matrix factorizations with [remarkable performance](https://git…
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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
4 months ago
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Hi Ameya Vijay Vilankar,
i was looking for an implementation of the algorithm described in "Zhou, Ke, Shuang-Hong Yang, and Hongyuan Zha. "Functional matrix factorizations for cold-start recommenda…
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As discussed [here](https://discourse.julialang.org/t/discussion-on-why-i-no-longer-recommend-julia-by-yuri-vishnevsky/81151/240?u=bruno_amorim) it would be nice to support eigenvalues problems in the…
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I figured that someone should probably start some location with a collection of topics that we might want to cover during the review sessions (Thursdays from 6:30-9:15pm).
Personally, I would like i…
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@jagot I'm going to tackle this soon which should speed up \ a lot. Essentially its not too hard to do this in-place, calling LAPACK to do the heavy work.
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Some functions have sparse Jacobian or sparse Hessian and it can be usefull to obtain them as sparse matrices rather than accessing to the values through vector-jacobian or vector-hessian products fu…
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The following errors for `cholesky` factorizations:
```julia
julia> using LinearAlgebra, SparseArrays
julia> A = cholesky(sparse(Matrix(I,10,10))); # sparse cholesky factorization with real element…
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This is a followup on https://github.com/JuliaLang/julia/pull/26391. As @KlausC points out, it is currently not possible to multiply `Q*R` for `QRSparseQ` (in the tall case). For the dense QR factoriz…