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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
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:

Please use the canonical form https://CRAN.R-project.org/package=optimsimplex to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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