Rcgmin: Conjugate Gradient Minimization of Nonlinear Functions
Version 2013-2.21

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.

AuthorJohn C. Nash
Date of publication2014-12-06 00:21:13
MaintainerJohn C. Nash <nashjc@uottawa.ca>
LicenseGPL (>= 2)
Version2013-2.21
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Rcgmin")

Popular man pages

Rcgmin: An R implementation of a nonlinear conjugate gradient...
Rcgminb: An R implementation of a bounded nonlinear conjugate gradient...
Rcgminu: An R implementation of an unconstrained nonlinear conjugate...
See all...

All man pages Function index File listing

Man pages

Rcgmin: An R implementation of a nonlinear conjugate gradient...
Rcgminb: An R implementation of a bounded nonlinear conjugate gradient...
Rcgminu: An R implementation of an unconstrained nonlinear conjugate...

Functions

Rcgmin Man page Source code
Rcgminb Man page Source code
Rcgminu Man page Source code

Files

NAMESPACE
demo
demo/genrose_test.R
demo/cyq_test.R
demo/00Index
demo/broydt_test.R
NEWS
R
R/Rcgminb.R
R/Rcgmin.R
R/Rcgminu.R
MD5
DESCRIPTION
man
man/Rcgminb.Rd
man/Rcgminu.Rd
man/Rcgmin.Rd
Rcgmin documentation built on May 19, 2017, 7 p.m.

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