CRAN: Package cPCG

cPCG: Efficient and Customized Preconditioned Conjugate Gradient Method 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年01月11日

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年12月18日]

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:

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