Package: gmresls 0.2.3
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_0.2.3.tar.gz
gmresls_0.2.3.zip(r-4.7-any)gmresls_0.2.3.zip(r-4.6-any)gmresls_0.2.3.zip(r-4.5-any)
gmresls_0.2.3.tgz(r-4.6-any)gmresls_0.2.3.tgz(r-4.5-any)
gmresls_0.2.3.tar.gz(r-4.7-any)gmresls_0.2.3.tar.gz(r-4.6-any)
gmresls_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gmresls/json (API)
| # 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 from:45908ac7f8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 97 | ||
| source / vignettes | OK | 134 | ||
| linux-release-x86_64 | OK | 124 | ||
| macos-release-arm64 | OK | 70 | ||
| macos-oldrel-arm64 | OK | 109 | ||
| windows-devel | OK | 55 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 80 |
Exports:gmresls
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Solve a Least Squares System with a Preconditioner. | gmresls |
