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


Reference manual: cPCG.pdf
Vignettes: cpcg-intro


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


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