Rcgmin: Conjugate Gradient Minimization of Nonlinear Functions with Box Constraints

Conjugate gradient minimization of nonlinear functions with box constraints using Dai/Yuan update.

Version:	2022-4.30
Depends:	optextras
Suggests:	numDeriv
Published:	2022-05-11
Author:	John C. Nash [aut, cre]
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

Documentation:

Reference manual:

Rcgmin.pdf

Downloads:

Package source:	Rcgmin_2022-4.30.tar.gz
Windows binaries:	r-devel: Rcgmin_2022-4.30.zip, r-release: Rcgmin_2022-4.30.zip, r-oldrel: Rcgmin_2022-4.30.zip
macOS binaries:	r-release (arm64): Rcgmin_2022-4.30.tgz, r-oldrel (arm64): Rcgmin_2022-4.30.tgz, r-release (x86_64): Rcgmin_2022-4.30.tgz, r-oldrel (x86_64): Rcgmin_2022-4.30.tgz
Old sources:	Rcgmin archive

Reverse dependencies:

Reverse imports:	glinvci, optimr
Reverse suggests:	nlmrt, simode

Linking:

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