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
CRAN checks: Rcgmin results


Reference manual: Rcgmin.pdf


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: optimr
Reverse suggests: metafor, nlmrt, simode


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