Rcgmin: Conjugate Gradient Minimization of Nonlinear Functions

Conjugate gradient minimization of nonlinear functions with box constraints incorporating the Dai/Yuan update. This implementation should be used in place of the "CG" algorithm of the optim() function.

Version: 2013-2.21
Imports: numDeriv
Published: 2014-12-06
Author: John C. Nash
Maintainer: John C. Nash <nashjc at uottawa.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: Optimization
CRAN checks: Rcgmin results


Reference manual: Rcgmin.pdf
Package source: Rcgmin_2013-2.21.tar.gz
Windows binaries: r-devel: Rcgmin_2013-2.21.zip, r-release: Rcgmin_2013-2.21.zip, r-oldrel: Rcgmin_2013-2.21.zip
OS X binaries: r-release: Rcgmin_2013-2.21.tgz, r-oldrel: Rcgmin_2013-2.21.tgz
Old sources: Rcgmin archive

Reverse dependencies:

Reverse imports: optimr, optimx
Reverse suggests: nlmrt, nlsr


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