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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: 2019-01-11
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

Documentation:

Reference manual: cPCG.pdf
Vignettes: cpcg-intro

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 form https://CRAN.R-project.org/package=cPCG to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.