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Rlinsolve  

Iterative Solvers for (Sparse) Linear System of Equations
View on CRAN: Click here


Download and install Rlinsolve package within the R console
Install from CRAN:
install.packages("Rlinsolve")

Install from Github:
library("remotes")
install_github("cran/Rlinsolve")

Install by package version:
library("remotes")
install_version("Rlinsolve", "0.3.2")



Attach the package and use:
library("Rlinsolve")
Maintained by
Kisung You
[Scholar Profile | Author Map]
First Published: 2017-09-28
Latest Update: 2021-08-21
Description:
Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) .
How to cite:
Kisung You (2017). Rlinsolve: Iterative Solvers for (Sparse) Linear System of Equations. R package version 0.3.2, https://cran.r-project.org/web/packages/Rlinsolve. Accessed 15 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-09-28 20:43), 0.1.1 (2017-10-08 05:47), 0.1.2 (2017-12-07 10:59), 0.2.0 (2018-02-12 17:12), 0.3.0 (2018-07-14 06:20), 0.3.1 (2020-05-05 16:40)
Other packages that cited Rlinsolve R package
View Rlinsolve citation profile
Other R packages that Rlinsolve depends, imports, suggests or enhances
Complete documentation for Rlinsolve
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