optimsimplex: R port of the Scilab optimsimplex module

Provides a building block for optimization algorithms based on a simplex. The optimsimplex package may be used in the following optimization methods: the simplex method of Spendley et al., the method of Nelder and Mead, Box's algorithm for constrained optimization, the multi-dimensional search by Torczon, etc...

Version: 1.0-5
Depends: optimbase (≥ 1.0-8), methods
Published: 2014-02-02
Author: Sebastien Bihorel, Michael Baudin (author of the original module)
Maintainer: Sebastien Bihorel <sb.pmlab at gmail.com>
License: CeCILL-2
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: optimsimplex results


Reference manual: optimsimplex.pdf
Vignettes: Introduction to the optimsimplex package
Package source: optimsimplex_1.0-5.tar.gz
Windows binaries: r-devel: optimsimplex_1.0-5.zip, r-release: optimsimplex_1.0-5.zip, r-oldrel: optimsimplex_1.0-5.zip
OS X Snow Leopard binaries: r-release: optimsimplex_1.0-5.tgz, r-oldrel: optimsimplex_1.0-5.tgz
OS X Mavericks binaries: r-release: optimsimplex_1.0-5.tgz
Old sources: optimsimplex archive

Reverse dependencies:

Reverse depends: neldermead