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.

Author
John C. Nash
Date of publication
2014-12-06 00:21:13
Maintainer
John C. Nash <nashjc@uottawa.ca>
License
GPL (>= 2)
Version
2013-2.21

View on CRAN

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...

Files in this package

Rcgmin
Rcgmin/NAMESPACE
Rcgmin/demo
Rcgmin/demo/genrose_test.R
Rcgmin/demo/cyq_test.R
Rcgmin/demo/00Index
Rcgmin/demo/broydt_test.R
Rcgmin/NEWS
Rcgmin/R
Rcgmin/R/Rcgminb.R
Rcgmin/R/Rcgmin.R
Rcgmin/R/Rcgminu.R
Rcgmin/MD5
Rcgmin/DESCRIPTION
Rcgmin/man
Rcgmin/man/Rcgminb.Rd
Rcgmin/man/Rcgminu.Rd
Rcgmin/man/Rcgmin.Rd