Package: cPCG 1.0

Yongwen Zhuang

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.

Authors:Yongwen Zhuang

cPCG_1.0.tar.gz
cPCG_1.0.tar.gz(r-4.5-noble)cPCG_1.0.tar.gz(r-4.4-noble)
cPCG_1.0.tgz(r-4.4-emscripten)cPCG_1.0.tgz(r-4.3-emscripten)
cPCG.pdf |cPCG.html✨
cPCG/json (API)

# Install 'cPCG' in R:
install.packages('cPCG', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.20 score 16 scripts 161 downloads 3 exports 2 dependencies

Last updated 6 years agofrom:d33a89be78. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linux-x86_64NOTENov 28 2024

Exports:cgsolveiccpcgsolve

Dependencies:RcppRcppArmadillo

cpcg-intro

Yongwen Zhuang

Rendered fromcpcg-intro.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2019-01-11
Started: 2019-01-11