Package: Rlinsolve 0.3.3

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
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Rlinsolve.pdf |Rlinsolve.html
Rlinsolve/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/kisungyou/rlinsolve/issues

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

On CRAN:

3.54 score 4 stars 1 packages 29 scripts 325 downloads 12 exports 6 dependencies

Last updated 1 years agofrom:fcec6e3924. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

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

Dependencies:latticeMatrixrbibutilsRcppRcppArmadilloRdpack