The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

pcg: Preconditioned Conjugate Gradient Algorithm for solving Ax=b

The package solves linear system of equations Ax=b by using Preconditioned Conjugate Gradient Algorithm where A is real symmetric positive definite matrix. A suitable preconditioner matrix may be provided by user. This can also be used to minimize quadratic function (x'Ax)/2-bx for unknown x.

Version: 1.1
Published: 2014-04-03
DOI: 10.32614/CRAN.package.pcg
Author: B N Mandal and Jun Ma
Maintainer: B N Mandal <mandal.stat at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: pcg results

Documentation:

Reference manual: pcg.pdf

Downloads:

Package source: pcg_1.1.tar.gz
Windows binaries: r-devel: pcg_1.1.zip, r-release: pcg_1.1.zip, r-oldrel: pcg_1.1.zip
macOS binaries: r-release (arm64): pcg_1.1.tgz, r-oldrel (arm64): pcg_1.1.tgz, r-release (x86_64): pcg_1.1.tgz, r-oldrel (x86_64): pcg_1.1.tgz
Old sources: pcg archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pcg 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.