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:

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