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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 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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