Rlinsolve: Iterative Solvers for (Sparse) Linear System of Equations
Version 0.3.0

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) .

Getting started

Package details

AuthorKisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Date of publication2018-07-14 04:20:03 UTC
MaintainerKisung You <[email protected]>
LicenseGPL (>= 3)
Version0.3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Rlinsolve")

Try the Rlinsolve package in your browser

Any scripts or data that you put into this service are public.

Rlinsolve documentation built on July 14, 2018, 9:03 a.m.