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:Serguei Sokol [aut, cre]

gmresls_0.2.3.tar.gz
gmresls_0.2.3.zip(r-4.7)gmresls_0.2.3.zip(r-4.6)gmresls_0.2.3.zip(r-4.5)
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
card.svg |card.png
gmresls/json (API)
NEWS

# Install 'gmresls' in R:
install.packages('gmresls', repos = c('https://sgsokol.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 1 packages 202 downloads 1 exports 0 dependencies

Last updated from:45908ac7f8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK127
linux-release-x86_64OK108
macos-release-arm64OK101
macos-oldrel-arm64OK78
windows-develOK62
windows-releaseOK67
windows-oldrelOK68
wasm-releaseOK82

Exports:gmresls

Dependencies: