optimbase: R Port of the 'Scilab' Optimbase Module

Provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constraints, the cost function, the logging system, various termination criteria, etc...

Version: 1.0-10
Depends: Matrix, methods
Suggests: knitr (≥ 1.28), rmarkdown (≥ 2.2)
Published: 2022-01-26
DOI: 10.32614/CRAN.package.optimbase
Author: Sebastien Bihorel [aut, cre], Michael Baudin [aut]
Maintainer: Sebastien Bihorel <sb.pmlab at gmail.com>
License: CeCILL-2
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: optimbase results


Reference manual: optimbase.pdf
Vignettes: manual


Package source: optimbase_1.0-10.tar.gz
Windows binaries: r-devel: optimbase_1.0-10.zip, r-release: optimbase_1.0-10.zip, r-oldrel: optimbase_1.0-10.zip
macOS binaries: r-release (arm64): optimbase_1.0-10.tgz, r-oldrel (arm64): optimbase_1.0-10.tgz, r-release (x86_64): optimbase_1.0-10.tgz, r-oldrel (x86_64): optimbase_1.0-10.tgz
Old sources: optimbase archive

Reverse dependencies:

Reverse depends: neldermead, optimsimplex, scaRabee
Reverse imports: extBatchMarking, RobustANOVA


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