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: 1.0-9
Depends: Matrix, methods
Published: 2014-03-02
Author: Sebastien Bihorel, Michael Baudin (author of the original module)
Maintainer: Sebastien Bihorel <sb.pmlab at gmail.com>
License: CeCILL-2
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: optimbase results

Downloads:

Reference manual: optimbase.pdf
Vignettes: Introduction to the optimbase package
Package source: optimbase_1.0-9.tar.gz
Windows binaries: r-devel: optimbase_1.0-9.zip, r-release: optimbase_1.0-9.zip, r-oldrel: optimbase_1.0-9.zip
macOS binaries: r-release: optimbase_1.0-9.tgz, r-oldrel: optimbase_1.0-9.tgz
Old sources: optimbase archive

Reverse dependencies:

Reverse depends: neldermead, optimsimplex
Reverse imports: EFA.MRFA, InDisc, unival, vampyr

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