Package: Rlinsolve 0.3.3

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_0.3.3.tar.gz
Rlinsolve_0.3.3.tar.gz(r-4.7-arm64)Rlinsolve_0.3.3.tar.gz(r-4.7-x86_64)Rlinsolve_0.3.3.tar.gz(r-4.6-arm64)Rlinsolve_0.3.3.tar.gz(r-4.6-x86_64)
Rlinsolve_0.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Rlinsolve/json (API)
NEWS

# Install 'Rlinsolve' in R:
install.packages('Rlinsolve', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openblascppopenmp

2.11 score 1 stars 1 packages 43 scripts 386 downloads 12 exports 6 dependencies

Last updated from:68b7d4033b. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK212
linux-devel-x86_64OK214
source / vignettesOK347
linux-release-arm64OK220
linux-release-x86_64OK210
wasm-releaseOK170

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

Dependencies:latticeMatrixrbibutilsRcppRcppArmadilloRdpack