CRAN/E | Rlinsolve

Rlinsolve

Iterative Solvers for (Sparse) Linear System of Equations

Installation

About

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.

Key Metrics

Version 0.3.2
Published 2021-08-21 1027 days ago
Needs compilation? yes
License MIT
License File
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Maintainer

Maintainer

Kisung You

Authors

Kisung You

aut / cre

Material

NEWS
Reference manual
Package source

In Views

NumericalMathematics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Rlinsolve archive

Imports

Rcpp ≥ 0.12.4
Matrix
Rdpack
stats
utils

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

ZVCV