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


Reference manual: optimsimplex.pdf
Vignettes: manual


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


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