Rlinsolve

Iterative Solvers for (Sparse) Linear System of Equations

CRAN Package

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.

  • Version0.3.2
  • R versionunknown
  • LicenseMIT
  • Needs compilation?Yes
  • Last release08/21/2021

Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports3 packages
  • Linking To2 packages
  • Reverse Imports1 package