How to Install and Uninstall r-cran-rlinsolve Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "r-cran-rlinsolve" package

Learn how to install r-cran-rlinsolve on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-cran-rlinsolve

2. Uninstall "r-cran-rlinsolve" package

Please follow the step by step instructions below to uninstall r-cran-rlinsolve on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-cran-rlinsolve $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-rlinsolve package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-rlinsolve
Architecture: amd64
Version: 0.3.1-2
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1077
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, r-cran-rcpp (>= 0.12.4), r-cran-matrix, r-cran-rdpack, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Filename: pool/universe/r/r-cran-rlinsolve/r-cran-rlinsolve_0.3.1-2_amd64.deb
Size: 390576
MD5sum: f2f4bb7531a152f5fe9ba379108e77f2
SHA1: bb98b4d91b8a347583b79636c9380796ea44f435
SHA256: 51036f5f735100adb33b93b324ef1ab5680f41dd0c579655702f359fd8267b70
SHA512: 48f9430af45a487da6caaf6a665bb14c4ae9d5a3848441d03b619167ca10ef811e860a7826829944f942813ec98d66a9d378d592b33b920594ab313252b61dcc
Homepage: https://cran.r-project.org/package=Rlinsolve
Description-en: Iterative Solvers for (Sparse) Linear System of Equations
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. Rlinsolve provides 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),
doi:10.1137/1.9780898718003.
Description-md5: 66a4cc37bdb102e23c20fdf8bc91ba70