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