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. (1962) <doi:10.1080/00401706.1962.10490033>, the method of Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308>, Box's algorithm for constrained optimization (1965) <doi:10.1093/comjnl/8.1.42>, the multi-dimensional search by Torczon (1989) <https://www.cs.wm.edu/~va/research/thesis.pdf>, etc...

Version:	1.0-8
Depends:	optimbase (≥ 1.0-8), methods
Suggests:	knitr (≥ 1.28), rmarkdown (≥ 2.2)
Published:	2022-01-28
DOI:	10.32614/CRAN.package.optimsimplex
Author:	Sebastien Bihorel [aut, cre], Michael Baudin [aut]
Maintainer:	Sebastien Bihorel <sb.pmlab at gmail.com>
License:	CeCILL-2
NeedsCompilation:	no
Materials:	README ChangeLog
In views:	Optimization
CRAN checks:	optimsimplex results

Documentation:

Reference manual:	optimsimplex.pdf
Vignettes:	manual

Downloads:

Package source:	optimsimplex_1.0-8.tar.gz
Windows binaries:	r-devel: optimsimplex_1.0-8.zip, r-release: optimsimplex_1.0-8.zip, r-oldrel: optimsimplex_1.0-8.zip
macOS binaries:	r-release (arm64): optimsimplex_1.0-8.tgz, r-oldrel (arm64): optimsimplex_1.0-8.tgz, r-release (x86_64): optimsimplex_1.0-8.tgz, r-oldrel (x86_64): optimsimplex_1.0-8.tgz
Old sources:	optimsimplex archive

Reverse dependencies:

Reverse depends:

neldermead, scaRabee

Linking:

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