Constraint optimization, or constraint programming, is the name given to identifying feasible solutions out of a very large set of candidates, where the problem can be modeled in terms of arbitrary constraints. 'MiniZinc' is a free and open-source constraint modeling language. Constraint satisfaction and discrete optimization problems can be formulated in a high-level modeling language. Models are compiled into an intermediate representation that is understood by a wide range of solvers. 'MiniZinc' itself provides several solvers, for instance 'GeCode'. R users can use the package to solve constraint programming problems without using 'MiniZinc' directly, modify existing 'MiniZinc' models and also create their own models.
| Version: | 0.0.6 |
| Depends: | R (≥ 3.5.0), rjson |
| Imports: | R6, checkmate, Rcpp, rlang, rlist |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, testthat, stringr |
| Published: | 2021-02-26 |
| Author: | Akshit Achara, Lars Kotthoff, Hans W. Borchers, Guido Tack |
| Maintainer: | Akshit Achara <acharaakshit at gmail.com> |
| BugReports: | https://github.com/acharaakshit/RMiniZinc/issues |
| License: | Mozilla Public License Version 2.0 |
| URL: | https://github.com/acharaakshit/RMiniZinc |
| NeedsCompilation: | yes |
| SystemRequirements: | pandoc (>=1.14, needed for the vignette) |
| Materials: | NEWS |
| In views: | Optimization |
| CRAN checks: | rminizinc results |
| Reference manual: | rminizinc.pdf |
| Vignettes: |
MiniZinc Interface for R |
| Package source: | rminizinc_0.0.6.tar.gz |
| Windows binaries: | r-devel: rminizinc_0.0.6.zip, r-devel-UCRT: rminizinc_0.0.6.zip, r-release: rminizinc_0.0.6.zip, r-oldrel: rminizinc_0.0.6.zip |
| macOS binaries: | r-release (arm64): rminizinc_0.0.6.tgz, r-release (x86_64): rminizinc_0.0.6.tgz, r-oldrel: rminizinc_0.0.6.tgz |
| Old sources: | rminizinc archive |
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