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:
Rlinsolve_0.3.3.tar.gz
Rlinsolve_0.3.3.zip(r-4.7)Rlinsolve_0.3.3.zip(r-4.6)Rlinsolve_0.3.3.zip(r-4.5)
Rlinsolve_0.3.3.tgz(r-4.6-x86_64)Rlinsolve_0.3.3.tgz(r-4.6-arm64)Rlinsolve_0.3.3.tgz(r-4.5-x86_64)Rlinsolve_0.3.3.tgz(r-4.5-arm64)
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://kisungyou.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kisungyou/rlinsolve/issues
Last updated from:963748021e. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 253 | ||
| linux-devel-x86_64 | OK | 265 | ||
| source / vignettes | OK | 356 | ||
| linux-release-arm64 | OK | 245 | ||
| linux-release-x86_64 | OK | 211 | ||
| macos-release-arm64 | OK | 158 | ||
| macos-release-x86_64 | OK | 362 | ||
| macos-oldrel-arm64 | OK | 170 | ||
| macos-oldrel-x86_64 | OK | 288 | ||
| windows-devel | OK | 244 | ||
| windows-release | OK | 260 | ||
| windows-oldrel | OK | 235 | ||
| wasm-release | OK | 181 |
Exports:aux.fischlsolve.bicglsolve.bicgstablsolve.cglsolve.cgslsolve.chebylsolve.gmreslsolve.gslsolve.jacobilsolve.qmrlsolve.sorlsolve.ssor
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate a 2-dimensional discrete Poisson matrix | aux.fisch |
| Biconjugate Gradient method | lsolve.bicg |
| Biconjugate Gradient Stabilized Method | lsolve.bicgstab |
| Conjugate Gradient method | lsolve.cg |
| Conjugate Gradient Squared method | lsolve.cgs |
| Chebyshev Method | lsolve.cheby |
| Generalized Minimal Residual method | lsolve.gmres |
| Gauss-Seidel method | lsolve.gs |
| Jacobi method | lsolve.jacobi |
| Quasi Minimal Residual Method | lsolve.qmr |
| Successive Over-Relaxation method | lsolve.sor |
| Symmetric Successive Over-Relaxation method | lsolve.ssor |
