JOLI.jl
Julia Operators LIbrary (by slimgroup)
ArnoldiMethod.jl
The Arnoldi Method with Krylov-Schur restart, natively in Julia. (by JuliaLinearAlgebra)
| JOLI.jl | ArnoldiMethod.jl | |
|---|---|---|
| 1 | 1 | |
| 17 | 93 | |
| - | - | |
| 3.0 | 8.4 | |
| about 1 year ago | about 1 month ago | |
| Julia | Julia | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JOLI.jl
Posts with mentions or reviews of JOLI.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-12.
ArnoldiMethod.jl
Posts with mentions or reviews of ArnoldiMethod.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-04.
-
What Is a Schur Decomposition?
For large and matrices you can use the (restarted) Arnoldi method to compute a partial Schur decomposition AQ=QR where Q is tall and skinny and R has a few dominant eigenvalues on the diagonal (i.e. eigenvalues on the boundary of the convex hull).
MATLAB uses ARPACK's implementation of this when you call `eigs`
I wrote my own implementation ArnoldiMethod.jl in julia, which unlike MATLAB/ARPACK supports arbitrary number types, and also should be more stable in general, and equally fast.
[1] https://github.com/JuliaLinearAlgebra/ArnoldiMethod.jl
What are some alternatives?
When comparing JOLI.jl and ArnoldiMethod.jl you can also consider the following projects:
InvertibleNetworks.jl - A Julia framework for invertible neural networks
Tensor - A library and extension that provides objects for scientific computing in PHP.
nalgebra - Linear algebra library for Rust.
InvertibleNetworks
tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes