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.
- Version0.2.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release10/18/2024
Documentation
Team
Serguei Sokol
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 210 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,377 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Oct 20, 2024 with 36 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Suggests1 package