Package: gmresls 0.2.2
gmresls: Solve Least Squares with GMRES(k)
Solves a least squares system Ax~=b (dim(A)=(m,n) with m >= n) with a precondition matrix B: BAx=Bb (dim(B)=(n,m)). Implemented method is based on GMRES (Saad, Youcef; Schultz, Martin H. (1986). "GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems" <doi:10.1137/0907058>) with callback functions, i.e. no explicit A, B or b are required.
Authors:
gmresls_0.2.2.tar.gz
gmresls_0.2.2.zip(r-4.5)gmresls_0.2.2.zip(r-4.4)gmresls_0.2.2.zip(r-4.3)
gmresls_0.2.2.tgz(r-4.4-any)gmresls_0.2.2.tgz(r-4.3-any)
gmresls_0.2.2.tar.gz(r-4.5-noble)gmresls_0.2.2.tar.gz(r-4.4-noble)
gmresls_0.2.2.tgz(r-4.4-emscripten)gmresls_0.2.2.tgz(r-4.3-emscripten)
gmresls.pdf |gmresls.html✨
gmresls/json (API)
NEWS
| # Install 'gmresls' in R: |
| install.packages('gmresls', repos = c('https://sgsokol.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:4a38869886. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 19 2024 |
| R-4.5-win | OK | Oct 19 2024 |
| R-4.5-linux | OK | Oct 19 2024 |
| R-4.4-win | OK | Oct 19 2024 |
| R-4.4-mac | OK | Oct 19 2024 |
| R-4.3-win | OK | Oct 19 2024 |
| R-4.3-mac | OK | Oct 19 2024 |
Exports:gmresls
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Solve a Least Squares System with a Preconditioner. | gmresls |
