Package: Rlinsolve 0.3.2

Kisung You

Rlinsolve: 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. 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) <doi:10.1137/1.9780898718003>.

Authors:Kisung You [aut, cre]

Rlinsolve_0.3.2.tar.gz
Rlinsolve_0.3.2.tar.gz(r-4.5-noble)Rlinsolve_0.3.2.tar.gz(r-4.4-noble)
Rlinsolve_0.3.2.tgz(r-4.4-emscripten)Rlinsolve_0.3.2.tgz(r-4.3-emscripten)
Rlinsolve.pdf |Rlinsolve.html
Rlinsolve/json (API)
NEWS

# Install 'Rlinsolve' in R:
install.packages('Rlinsolve', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.48 score 1 stars 1 packages 30 scripts 280 downloads 12 exports 6 dependencies

Last updated 3 years agofrom:1a11c018c0. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 15 2024
R-4.5-linux-x86_64NOTEDec 15 2024

Exports:aux.fischlsolve.bicglsolve.bicgstablsolve.cglsolve.cgslsolve.chebylsolve.gmreslsolve.gslsolve.jacobilsolve.qmrlsolve.sorlsolve.ssor

Dependencies:latticeMatrixrbibutilsRcppRcppArmadilloRdpack