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...


optimbase

The optimbase 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...

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("optimbase")

1.0-10 by Sebastien Bihorel, 5 years ago


Browse source code at https://github.com/cran/optimbase


Authors: Sebastien Bihorel [aut, cre] , Michael Baudin [aut]


Documentation:   PDF Manual  


CeCILL-2 license


Depends on Matrix, methods

Suggests knitr, rmarkdown


Imported by RobustANOVA, bdsm, extBatchMarking.

Depended on by neldermead, optimsimplex, scaRabee.


See at CRAN