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#### Problem
I think that following utility methods aren't there for Matrices:
1. is_positive - To check whether each element of the Matrix is greater than 0.
2. is_positive_definite - To check…
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This issue is exploration into accelerating the eigensolver part of the linear method.
See #3633 for the umbrella issue with scaling the linear method with respect to the number of parameters.
The…
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```julia
julia> using LinearAlgebra
julia> eigen(Tridiagonal(rand(10,10)))
ERROR: MethodError: no method matching eigen(::Tridiagonal{Float64,Array{Float64,1}})
Closest candidates are:
eigen(…
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### Motivation
I'm currently updating my package `LightKrylov` to make use as much as possible of the new linalg features offered in the `stdlib_linalg` module. Among the things I'll need eventually …
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SciJS doesn't yet have a good linear solver. At the moment, we have the following simple package (thanks @substack) which works ok for smaller systems using an LU decomposition:
- https://www.npmjs.c…
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There are issues with the current connection coefficient matrix introducing bad conditioning:
```julia
V = SymTriOperator([zeros(5); -ones(6); zeros(10); -ones(7)],zeros(4))
J = -Δ + V
Λ, U = eig(…
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Any chance of getting `sqrt` to work?
It seems like LinearAlgebra makes assumptions about what schur returns in [this function](https://github.com/JuliaLang/julia/blob/8cbe1297f98aa477da5d98ebfaa40…
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Calculating roots leads to the ability to find max, min, and inf- and 1-norms. This can be done in O(n^2) complexity via the algorithm in http://epubs.siam.org/doi/abs/10.1137/130904508 since the root…
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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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**Description**
`Fortran` has its unique grammatical characteristics. I think it is impossible to learn from some routines of `Matlab` and `Python` completely. We should be based on the chara…