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gmresls  

Solve Least Squares with GMRES(k)
View on CRAN: Click here


Download and install gmresls package within the R console
Install from CRAN:
install.packages("gmresls")

Install from Github:
library("remotes")
install_github("cran/gmresls")

Install by package version:
library("remotes")
install_version("gmresls", "0.2.3")



Attach the package and use:
library("gmresls")
Maintained by
Serguei Sokol
[Scholar Profile | Author Map]
First Published: 2024-10-18
Latest Update: 2024-10-18
Description:
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.
How to cite:
Serguei Sokol (2024). gmresls: Solve Least Squares with GMRES(k). R package version 0.2.3, https://cran.r-project.org/web/packages/gmresls. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.2.2 (2024-10-18 12:40)
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Complete documentation for gmresls
Functions, R codes and Examples using the gmresls R package
Full gmresls package functions and examples
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