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cPCG: Efficient and Customized Preconditioned Conjugate GradientMethod for Solving System of Linear Equations

Solves system of linear equations using (preconditioned) conjugate gradient algorithm, with improved efficiency using Armadillo templated 'C++' linear algebra library, and flexibility for user-specified preconditioning method. Please check <https://github.com/styvon/cPCG> for latest updates.

Version:1.0
Depends:R (≥ 3.0.0)
Imports:Rcpp (≥ 0.12.19)
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown
Published:2019-01-11
DOI:10.32614/CRAN.package.cPCG
Author:Yongwen Zhuang
Maintainer:Yongwen Zhuang <zyongwen at umich.edu>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:cPCG results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:cPCG.html ,cPCG.pdf
Vignettes:cpcg-intro (source,R code)

Downloads:

Package source: cPCG_1.0.tar.gz
Windows binaries: r-devel:cPCG_1.0.zip, r-release:cPCG_1.0.zip, r-oldrel:cPCG_1.0.zip
macOS binaries: r-release (arm64):cPCG_1.0.tgz, r-oldrel (arm64):cPCG_1.0.tgz, r-release (x86_64):cPCG_1.0.tgz, r-oldrel (x86_64):cPCG_1.0.tgz

Reverse dependencies:

Reverse suggests:MoBPS

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cPCGto link to this page.


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